44th week of 2021 patent applcation highlights part 57 |
Patent application number | Title | Published |
20210343322 | FERROELECTRIC MEMORY CELL ACCESS - Methods, systems, and devices for accessing a ferroelectric memory cell are described. In some examples, during a first portion of an access procedure, the voltages of a digit line and word line coupled with the memory cell may be increased while the voltage of a plate coupled with the memory cell is held constant, which may support sensing a logic state stored by the memory cell prior the access procedure, and which may result in a first logic state being written to the memory cell. A voltage of the plate may then be increased, and the digit line may then be coupled with the plate. Because the first logic state was previously written to the memory cell, a target logic state may not need to be subsequently written to the memory cell unless different than the first logic state. | 2021-11-04 |
20210343323 | REFRESH COMMAND MANAGEMENT - Methods, systems, and devices for refresh command management are described. A memory device may conduct a refresh operation to preserve the integrity of data stored to one or more memory cells. In some examples, the frequency of refresh operations conducted may be based on the memory device's temperature and may be initiated based on one or more commands received from an external device (e.g., a host device). Each command may be transmitted by the host device at a defined rate, which may impact the rate at which the memory device conducts one or more refresh operations. The memory device may postpone or skip at least a portion of one or more refresh operations based on one or more operating parameters of the memory device. | 2021-11-04 |
20210343324 | APPARATUSES AND METHODS FOR MONITORING WORD LINE ACCESSES - An apparatus may include multiple memory devices. Each memory device may include multiple memory banks. Addresses of accessed word lines for a particular portion of memory and the number of times those word lines are accessed may be tracked by each memory device. When a memory device determines that an accessed word line is an aggressor word line, the memory device alerts other memory devices of the apparatus. The memory devices may then perform targeted refresh operations on victim word lines of the aggressor word line. | 2021-11-04 |
20210343325 | MEMORY DEVICE FOR REDUCING RESOURCES USED FOR TRAINING - A memory device includes: first power pins in a first power area and configured to receive a first power voltage; data pins configured to transmit or receive data signals, the data pins being arranged in a first region and in a second region each including the first power area; control pins configured to transmit or receive control signals in the first region and in the second region; second power pins in a second power area between the first region and the second region and configured to receive a second power voltage different from the first power voltage; and ground pins in the second power area and configured to receive a ground voltage. | 2021-11-04 |
20210343326 | SRAM write assist device and method - An SRAM write assist device includes: a power circuit supplying power to an SRAM-cells column and then stopping supplying power to make the voltage of a power-receiving terminal of the SRAM-cells column floating; a write driving circuit coupling a bit line of the SRAM-cells column with a ground terminal according to a data signal in a write drive phase; a charge sharing circuit coupling the power-receiving terminal with the first terminal of a capacitor to lower this terminal's floating voltage by charge sharing in a charge sharing phase; a charging circuit including a switch turned on to charge the capacitor with an operating voltage in a charge phase; and a negative-voltage coupling circuit including the capacitor whose first and second terminals are coupled to a ground terminal and the bit line respectively to lower the voltage of the bit line by charge sharing in a negative-voltage generation phase. | 2021-11-04 |
20210343327 | MEMORY CONTROLLER DEVICE AND PHASE CALIBRATION METHOD - A memory controller device includes a delay line circuitry, data sampler circuits, phase detector circuits, and a control logic circuit. The delay line circuitry delays a data strobe signal to generate first to third clock signals, in which the second clock signal is for reading a data signal, and phases of the first to the third clock signals are sequentially differentiated by a predetermined value. The data sampler circuits sample the data signal according to the first to the third clock signals, in order to generate first to third signals. The phase detector circuits compare the first signal with the second signal to generate a first detection signal, and compare the third signal with the second signal to generate a second detection signal. The control logic circuit adjusts the first to the third clock signals according to the first and the second detection signals. | 2021-11-04 |
20210343328 | SEMICONDUCTOR MEMORY DEVICE HAVING CLOCK GENERATION SCHEME BASED ON COMMAND - A semiconductor memory device includes a command decoder configured to generate an auto-sync signal in response to a command for writing data at a memory cell or reading data from a memory cell, and an internal data clock generating circuit configured to phase synchronize a second clock, having a clock frequency higher than a clock frequency of a first clock, with the first clock in response to the auto-sync signal. | 2021-11-04 |
20210343329 | SEMICONDUCTOR DEVICE, MEMORY DEVICE, AND ELECTRONIC DEVICE - A memory device in which bit line parasitic capacitance is reduced is provided. The memory device includes a sense amplifier electrically connected to a bit line and a memory cell array stacked over the sense amplifier. The memory cell array includes a plurality of memory cells. The plurality of memory cells are each electrically connected to a bit line. A portion for leading the bit lines is not provided in the memory cell array. Thus, the bit line can be shortened and the bit line parasitic capacitance is reduced. | 2021-11-04 |
20210343330 | Write Assist Scheme with Bitline - Methods and apparatuses having an improved write assist scheme are presented. An apparatus includes a power supply node configured to provide power from a power supply to one memory cell to store data; a bitline configured to provide write data to the one memory cell in a write operation; and a discharge circuit configured to selectively discharge the power supply node to the bitline, based on the write data. A method to write into a memory cell with a write assist scheme includes providing power from a power supply to one memory cell via a power supply node, to store data; providing write data to the one memory cell via a bitline in a write operation; and discharging, selectively based on the write data, the power supply node to the bitline. | 2021-11-04 |
20210343331 | PARTIAL REFRESH TECHNIQUE TO SAVE MEMORY REFRESH POWER - In a conventional memory subsystem, a memory controller issues explicit refresh commands to a DRAM memory device to maintain integrity of the data stored in the memory device when the memory device is in an auto-refresh mode. A significant amount of power may be consumed to carry out the refresh. To address this and other issues, it is proposed to allow a partial refresh in the auto-refresh mode in which the refreshing operation may be skipped for a subset of the memory cells. Through such selective refresh skipping, the power consumed for auto-refreshes may be reduced. Operating system kernels and memory drivers may be configured to determine areas of memory for which the refreshing operation can be skipped. | 2021-11-04 |
20210343332 | Sram Structure with Asymmetric Interconnection - A semiconductor structure includes a substrate having a frontside and a backside; a static random-access memory (SRAM) circuit having SRAM bit cells formed on the frontside of the substrate, wherein each of the SRAM bit cells including two inverters cross-coupled together, and a first and second pass gates coupled to the two inverters; a first bit-line disposed on the frontside of the substrate and connected to the first pass gate; and a second bit-line disposed on the backside of the substrate and connected to the second pass gate. | 2021-11-04 |
20210343333 | MEMORY WITH SYMMETRIC READ CURRENT PROFILE - Memories are provided. A memory includes a first memory array, a second memory array and a read circuit. The first memory array is configured to store first data. The second memory array is configured to store second data that is complementary to the first data. The read circuit includes a decoding circuit, a sensing circuit and an output buffer. The decoding circuit is configured to provide a first signal according to the first data and a second signal according to the second data in response to an address signal. The sensing circuit is configured to provide a first sensing signal according to a reference signal and the first signal, and a second sensing signal according to the reference signal and the second signal. The output buffer is configured to provide the first sensing signal or the second sensing signal as an output according to a control signal. | 2021-11-04 |
20210343334 | IN-MEMORY COMPUTE ARRAY WITH INTEGRATED BIAS ELEMENTS - An in-memory compute (IMC) device includes a compute array having a first plurality of cells. The compute array is arranged as a plurality of rows of cells intersecting a plurality of columns of cells. Each cell of the first plurality of cells is identifiable by its corresponding row and column. The IMC device also includes a plurality of computation engines and a plurality of bias engines. Each computation engine is respectively formed in a different one of a second plurality of cells, wherein the second plurality of cells is formed from cells of the first plurality. Each computation engine is formed at a respective row and column intersection. Each bias engine of the plurality of bias engines is arranged to computationally combine an output from at least one of the plurality of computation engines with a respective bias value. | 2021-11-04 |
20210343335 | APPARATUS AND METHODS FOR PROGRAMMING MEMORY CELLS RESPONSIVE TO AN INDICATION OF AGE OF THE MEMORY CELLS - Methods of operating a memory, and memory configured to perform similar methods, may include determining a memory cell age of a plurality of memory cells, determining a desired programming step voltage for programming memory cells having the determined memory cell age, and performing a programming operation on the plurality of memory cells using the desired programming step voltage corresponding to the determined memory cell age. Methods may further include configuring a memory, including characterizing a read window budget for a programming operation of the memory as a function of a programming step voltage for a plurality of memory cell ages. | 2021-11-04 |
20210343336 | SEMICONDUCTOR MEMORY DEVICE - According to one embodiment, a semiconductor memory device includes a memory cell array, a data storage circuit and a control circuit. The data storage circuit holds first data to be written into the memory cell and holds 1 bit data calculated from the first data. The control circuit writes the data of n bits into the memory cell in a first write operation and then executes a second write operation. The control circuit carries out the following control in the second write operation. It reads data stored in the memory cell in the first write operation. It restores the first data based on the data read from the memory cell and the 1 bit data held in the data storage circuit. It writes the restored first data into the memory cell. | 2021-11-04 |
20210343337 | NONVOLATILE SEMICONDUCTOR MEMORY DEVICE - A nonvolatile semiconductor memory device comprises a cell array including a plurality of first lines, a plurality of second lines intersecting the plurality of first lines, and a plurality of memory cells arranged in matrix and connected at intersections of the first and second lines between both lines, each memory cell containing a serial circuit of an electrically erasable programmable variable resistive element of which resistance is nonvolatilely stored as data and a non-ohmic element; and a plurality of access circuits operative to simultaneously access the memory cells physically separated from each other in the cell array. | 2021-11-04 |
20210343338 | OVERWRITE READ METHODS FOR RESISTANCE SWITCHING MEMORY DEVICES - A method is provided that includes reading a plurality of resistance-switching memory cells comprising a block of data, decoding the block of data using an error correction code decoder, and based on results of the decoding, selectively performing an overwrite-read process to read the block of data. The overwrite read process determines a change in resistance of the resistance-switching memory cells in response to a write pulse. | 2021-11-04 |
20210343339 | MEMRISTIVE DEVICE AND METHOD BASED ON ION MIGRATION OVER ONE OR MORE NANOWIRES - Aspects of the subject disclosure may include, for example, applying a setting voltage across first and second electrodes, wherein a nanowire with a first electrical resistance is electrically connected between the first and second electrodes, wherein the applying of the setting voltage causes a migration of ions from the first and/or second electrodes to a surface of the nanowire, and wherein the migration of ions effectuates a reduction of electrical resistance of the nanowire from the first electrical resistance to a second electrical resistance that is lower than the first electrical resistance; and applying a reading voltage across the pair of electrodes, wherein the reading voltage is less than the setting voltage, and wherein the reading voltage is sufficiently small such that the applying of the reading voltage causes no more than an insignificant change of the electrical resistance of the nanowire from the second electrical resistance. Other embodiments are disclosed. | 2021-11-04 |
20210343340 | Voltage Drivers with Reduced Power Consumption during Polarity Transition - An integrated circuit memory device having: a memory cell; and a voltage driver of depletion type connected to the memory cell. In a first polarity, the voltage driver is powered by a negative voltage relative to ground to drive a negative selection voltage or a first de-selection voltage; In a second polarity, the voltage driver is powered by a positive voltage relative to ground to drive a positive selection voltage or a second de-selection voltage. The voltage driver is configured to transition between the first polarity and the second polarity. During the transition, the voltage driver is configured to have a control voltage swing for outputting de-selection voltages smaller than a control voltage swing for output selection voltages. | 2021-11-04 |
20210343341 | ANALOG CONTENT ADDRESSABLE MEMORY UTILIZING THREE TERMINAL MEMORY DEVICES - An analog content addressable memory cell includes a match line, a high side, and a low side. The high side encodes a high bound on a range of values and includes a first three terminal memory device. The first three terminal memory device includes a first gate that sets a high voltage bound of the first three terminal memory device. Specifically, an input voltage applied at the first gate of the first memory device, if higher than the high voltage bound, turns the first memory device ON which discharges the match line. Similarly, the low side encodes a lower bound on a range of values and includes a second three terminal memory device. The second three terminal memory device includes a second gate that sets a low voltage bound of the second three terminal memory device. Specifically, an input voltage applied at the second gate of the second memory device, if lower than the low voltage bound, turns the first memory device ON which discharges the match line. | 2021-11-04 |
20210343342 | INTEGRATED CIRCUIT DEVICES - An integrated circuit device includes a peripheral circuit structure including a lower substrate, an arc protection diode in the lower substrate, and a common source line driver connected to the arc protection diode, a conductive plate on the peripheral circuit structure, a cell array structure overlapping the peripheral circuit structure in a vertical direction with the conductive plate therebetween, and a first wiring structure connected between the arc protection diode and the conductive plate. | 2021-11-04 |
20210343343 | VOLTAGE OFFSET FOR COMPUTE-IN-MEMORY ARCHITECTURE - In one embodiment, an electronic device includes a compute-in-memory (CIM) array that includes a plurality of columns. Each column includes a plurality of CIM cells connected to a corresponding read bitline, a plurality of offset cells configured to provide a programmable offset value for the column, and an analog-to-digital converter (ADC) having the corresponding bitline as a first input and configured to receive the programmable offset value. Each CIM cell is configured to store a corresponding weight. | 2021-11-04 |
20210343344 | Memory Device and Programming Method Thereof - A programming method for a memory device is disclosed. The programming method comprises moving a plurality of first charge carriers at a shallow energy level to a channel in a substrate layer before a fine programming operation for a first word line, wherein the plurality of first charge carriers at the shallow energy level correspond to a memory cell to be programmed. | 2021-11-04 |
20210343345 | NONVOLATILE MEMORY DEVICE, OPERATING METHOD THEREOF, AND MEMORY SYSTEM INCLUDING THE SAME - A nonvolatile memory device includes a memory cell array and a control unit. The memory cell array includes a plurality of memory regions coupled to a plurality of word lines. The plurality of memory regions include first and second memory regions coupled to upper and lower word lines, respectively. The control logic performs, after receiving first data and second data, a first program operation on the first memory region to store the first data and a second program operation on the second memory region to store the second data. | 2021-11-04 |
20210343346 | MANAGING PRE-PROGRAMMING OF A MEMORY DEVICE FOR A REFLOW PROCESS - A system includes a memory device and a processing device, operatively coupled with the memory device. The processing device is configured to perform operations that include determining a verify reference voltage associated with a logic state of a memory cell of the memory device, the verify reference voltage defining a target voltage level of a threshold voltage associated with the logic state; determining an amount of voltage compensation based on a thermal profile associated with a heat to be applied to the memory device, the thermal profile comprising a temperature associated with the heat and a period of time the heat is to be applied to the memory device; and updating the verify reference voltage using the amount of voltage compensation for an expected shift in the threshold voltage of the memory cell after the heat is applied to the memory device. | 2021-11-04 |
20210343347 | PAGE BUFFER AND MEMORY DEVICE INCLUDING THE SAME - Systems and methods are described including a page buffer to reduce a threshold voltage distribution skew of memory cells and improve programming performance. The page buffer includes a first circuit element connected to a first terminal for supplying a first bitline voltage, a second circuit element connected to a second terminal for supplying a second bitline voltage, and a latch configured to control the first and second circuit elements. | 2021-11-04 |
20210343348 | NON-VOLATILE SEMICONDUCTOR STORAGE DEVICE - According to one embodiment, there is provided a non-volatile semiconductor storage device including a non-volatile memory, a monitoring section, a determining section, and a notification processing section. The non-volatile memory includes a plurality of memory cells driven by word lines and a voltage generating section that generates a read voltage to be applied to the word lines. The monitoring section monitors a change in a threshold distribution of the plurality of memory cells upon performing a read processing to read data from the plurality of memory cells by applying the read voltage to the word lines. The determining section determines a degree of deterioration of the non-volatile memory in accordance with a monitoring result by the monitoring section. The notification processing section notifies a life of the non-volatile memory in accordance with a determining result by the determining section. | 2021-11-04 |
20210343349 | MEMORY DEVICE - A memory device includes a memory cell array having a plurality of memory strings and includes a voltage generating circuit configured to generate and apply a plurality of drain select line voltages, a plurality of source select line voltages, and a read voltage to the memory cell array during a read operation. The memory device also includes control logic configured to control the voltage generating circuit to generate a first drain select line voltage applied to a first unselected memory string among unselected memory strings among the plurality of memory strings and a second drain select line voltage applied to second unselected memory strings among the unselected memory strings during the read operation, wherein the second drain select line voltage is different from the first drain select line voltage. | 2021-11-04 |
20210343350 | MEMORY DEVICE TO EXECUTE READ OPERATION USING READ TARGET VOLTAGE - A memory device includes first and second memory strings, first and second word lines and a controller. The first memory string includes first and second memory cells, a first select transistor, a second select transistor, and a third select transistor between the first and second memory cells. The second memory string includes third and fourth memory cells, a fourth select transistor above the third memory cell, a fifth select transistor below the fourth memory cell, and a sixth select transistor between the third and fourth memory cells. The first word line is electrically connected to gates of the first and third memory cells. The second word line is electrically connected to gates of the second and fourth memory cells. The controller is configured to execute a read operation on one of the memory cells, the read operation including a first phase and a second phase after the first phase. | 2021-11-04 |
20210343351 | DEFECT DETECTION DURING PROGRAM VERIFY IN A MEMORY SUB-SYSTEM - A memory device includes a memory array comprising a plurality of wordlines and a regulator circuit selectively coupled to the plurality of wordlines, wherein the regulator circuit is configured to perform a detection routine to sample a load current from a selected wordline of the plurality of wordlines and generate a measured output voltage, wherein the measured output voltage modulates with respect to the load current. The memory device further includes a comparator circuit coupled to the regulator circuit, wherein the comparator circuit is configured to generate a comparison result based on a difference between the measured output voltage and a reference voltage and a local media controller coupled to the comparator circuit, wherein the local media controller is configured to identify a presence of a defect on the selected wordline in response to the comparison result satisfying a threshold condition. | 2021-11-04 |
20210343352 | NONVOLATILE MEMORY DEVICE, STORAGE DEVICE INCLUDING NONVOLATILE MEMORY DEVICE, AND OPERATING METHOD OF NONVOLATILE MEMORY DEVICE - An operating method of a nonvolatile memory device includes receiving, at the nonvolatile memory device, a suspend command, suspending, at the nonvolatile memory device, a program operation being performed, in response to the suspend command, receiving, at the nonvolatile memory device, a resume command, and resuming, at the nonvolatile memory device, the suspended program operation in response to the resume command. The program operation includes program loops, each of which includes a bit line setup interval, a program interval, and a verify interval. In the program interval of each of the program loops, a level of a program voltage to be applied to selected memory cells of the nonvolatile memory device increases as much as a first voltage. A difference between a level of the program voltage finally applied s suspend and a level of the program voltage applied first after resume is different from the first voltage. | 2021-11-04 |
20210343353 | FIRST-PASS DYNAMIC PROGRAM TARGETING (DPT) - Described herein are embodiments related to first-pass dynamic program targeting (DPT) operations on memory cells of memory systems. A method includes determining that a first programming pass of a programming operation has been performed on a memory cell of the memory component, and performing a dynamic program targeting (DPT) operation on the memory cell to calibrate a first program-verify (PV) target value that results in an adjustment to a placement of a first first-pass programming distribution and a second PV target value that results in an adjustment to a placement of a second first-pass programming distribution before a second programming pass of the programming operation is performed on the memory cell. | 2021-11-04 |
20210343354 | Multi-Fuse Memory Cell Circuit and Method - A multi-fuse memory cell is disclosed. The circuit includes: a first fuse element electrically coupled to a first transistor, a gate of the first transistor is electrically coupled to a first selection signal; a second fuse element electrically coupled to a second transistor, a gate of the second transistor is electrically coupled to a second selection signal, both the first transistor and the second transistor are grounded; and a programming transistor electrically coupled to the first fuse element and the second fuse element, wherein a gate of the programming transistor is electrically coupled to a programming signal. | 2021-11-04 |
20210343355 | ONE-TIME PROGRAMMABLE MEMORIES WITH ULTRA-LOW POWER READ OPERATION AND NOVEL SENSING SCHEME - An OTP with ultra-low power read can be programmed with a minimum and a maximum program voltage. When programming within the range, the post-program OTP to pre-program resistance ratio can be larger than N, where N>50, so that more sensing techniques, such as single-end sensing, can be used to reduce read current. At least one of the OTP cells can be coupled to a common bitline, which can be further coupled to a first supply voltage lines via a plurality of datalines. The resistance in the at least one OTP cell can be evaluated by strobing at least one comparator output of the discharging bitline/dataline. | 2021-11-04 |
20210343356 | MAGNETIC STORAGE DEVICE - A magnetic storage device includes a magnetic body including first and second magnetic regions and a magnetic connection region that connects the first and second magnetic regions, and in which a plurality of magnetic domains each storing information by a magnetization direction thereof is formed, a read element that is electrically connected to the magnetic connection region and by which a magnetization direction of one of the magnetic domains is read, and a write element by which a magnetic domain having a magnetization direction is formed in the magnetic body according to information to be stored. The magnetic domains formed in each of the first and second magnetic regions are shifted in a predetermined direction in response to current that flows through the corresponding one of the first and second magnetic regions. | 2021-11-04 |
20210343357 | SHIFT REGISTER, GATE DRIVING CIRCUIT AND GATE DRIVING METHOD - Shift register includes signal writing circuit, voltage control circuit and output circuit. The signal writing circuit is configured to write inverted signal of input signal provided by signal input terminal into second node responsive to control of second clock signal provided by second clock signal terminal. The voltage control circuit is configured to write first operating voltage into first node and write second clock signal into third node in voltage control circuit in response to control of voltage at first node, write second operating voltage into third node in response to control of second clock signal and write first clock signal provided by first clock signal terminal into first node in response to control of voltage at third node and first clock signal. The output circuit is configured to write second or first operating voltage into signal output terminal in response to control of voltage at first or second node. | 2021-11-04 |
20210343358 | ANALOG NONVOLATILE MEMORY CELLS USING DOPANT ACTIVATION - Memory cells and methods of forming and operating the same include forming a doped crystalline semiconductor memory layer on a first electrode. The doped crystalline semiconductor memory layer has a programmable dopant activation level that determines a resistance of the doped crystalline semiconductor memory layer. A second electrode is formed on the doped crystalline semiconductor memory layer. | 2021-11-04 |
20210343359 | Sensor for Performance Variation of Memory Read and Write Characteristics - Various implementations described herein refer to an integrated circuit having a first memory structure and a second memory structure. The first memory structure is disposed in a first area of the integrated circuit, and the first memory structure has first memory cells with first transistors. The second memory structure is disposed in a second area of the integrated circuit that is different than the first area, and the second memory structure has second memory cells with second transistors that are separate from the first transistors. The second transistors of the second memory cells are arranged to provide an output oscillating frequency for detecting variation of performance of the first transistors of the first memory cells. | 2021-11-04 |
20210343360 | APPARATUS FOR TESTING SEMICONDUCTOR DEVICE AND METHOD OF TESTING THEREOF - The present disclosure provides an apparatus for performing thermal testing of a memory device and a method of thermally testing the memory device. The apparatus includes a tester; an interface board disposed over the tester and configured to receive the semiconductor device and connect the semiconductor device to the tester; a shield disposed over the interface board and including a recess; a gas-supplying unit including a conduit extending through the shield and accessible to the recess; a temperature-sensing device disposed within the recess; and a controller configured to control and communicate with the tester, the gas-supplying unit and the temperature-sensing device. | 2021-11-04 |
20210343361 | ASSAY SYSTEMS FOR DETERMINATION OF FETAL COPY NUMBER VARIATION - The present invention provides processes for determining accurate risk probabilities for chromosome dosage abnormalities. Specifically, the invention provides non-invasive evaluation of genomic variations through chromosome-selective sequencing and non-host fraction data analysis of maternal samples. | 2021-11-04 |
20210343362 | CROSS-VARIANT POLYGENIC PREDICTIVE DATA ANALYSIS - There is a need for more effective and efficient predictive data analysis solutions for processing genetic sequencing data. This need can be addressed by, for example, techniques for performing predictive data analysis based on genetic sequences that utilize at least one of cross-variant polygenic risk modeling using genetic risk profiles, cross-variant polygenic risk modeling using functional genetic risk profiles, per-condition polygenic clustering operations, cross-condition polygenic predictive inferences, and cross-condition polygenic diagnoses. | 2021-11-04 |
20210343363 | METHODS FOR CLASSIFYING GENETIC MUTATIONS DETECTED IN CELL-FREE NUCLEIC ACIDS AS TUMOR OR NON-TUMOR ORIGIN - Provided herein are methods of differentiating tumor and non-tumor origin nucleic acid variants in cell-free nucleic acid (cfNA) samples. Certain of these methods include generating a tumor variant dataset comprising a population of reference tumor-related genetic variants in which the tumor variant dataset comprises frequency of observance data among reference samples that comprises reference bodily fluid (e.g., plasma) samples and reference non-bodily fluid (e.g., non-plasma) samples for tumor-related genetic variants in the population of reference tumor-related genetic variants and determining ratios of the frequency of observance data between the reference samples for tumor-related genetic variants in the population of reference tumor-related genetic variants to produce a relative prevalence dataset. Additional methods and related systems and computer readable media are also provided. | 2021-11-04 |
20210343364 | METHODS AND RELATED ASPECTS FOR QUANTITATIVE RATIOMETRIC REGRESSION POLYMERASE CHAIN REACTION - Provided herein are methods of performing multiplexed real-time quantitative ratiometric regression PCR (qRR-PCR) to determine the fractional abundance of target variants in a population. Related systems and computer program products are also provided. | 2021-11-04 |
20210343365 | Method for the Study of Embryo Mutations in IN VITRO Reproduction Processes - The invention relates to a method for the study of embryo mutations in in vitro reproduction processes with the particular feature that it combines the detection techniques of Aneuploidy (PGD-A) and the study of monogenic diseases in embryos (PGD-M), and wherein the method comprises a SNP selection process wherein the values of some n candidate SNPs (t | 2021-11-04 |
20210343366 | METHOD FOR PREDICTING GENOTYPE BY USING SNP DATA - A method for predicting a genotype using SNP data is disclosed. An embodiment includes steps of receiving SNP data to be analyzed and reference data, of updating the reference data by inserting a marker corresponding to a genotype of the SNP data corresponding to each of a plurality of predetermined regions included in corresponding SNP data, for each SNP data included in the reference data, and of predicting a genotype of the SNP data to be analyzed based on the SNP data to be analyzed and the updated reference data. | 2021-11-04 |
20210343367 | METHODS FOR DETECTING MUTATION LOAD FROM A TUMOR SAMPLE - A targeted panel with low sample input requirements from a tumor only sample may be processed to estimate mutation load in a tumor sample. The method may include detecting variants in nucleic acid sequence reads corresponding to targeted locations in the tumor sample genome; annotating detected variants with an annotation information from a population database; filtering the detected variants, wherein the filtering rule set retains the somatic variants and removes germ-line variants; counting the identified somatic variants to give a number of somatic variants; determining a number of bases in covered regions of the targeted locations in the tumor sample genome; and calculating a number of somatic variants per megabase, provides an estimate of the mutation load per megabase in the tumor sample genome. | 2021-11-04 |
20210343368 | Method for Engineering Synthetic Cis-Regulatory DNA - The invention relates to methods for generating cell-type specific expression cassettes and reporter vectors, as well as nucleic acid constructs that can be generated by such methods. The cell-type specific expression cassettes and reporter vectors are characterized synthetic cis-regulatory DNA, also termed synthetic locus regions (sLCRs). sLCRs allow for a cell-type specific expression of reporter or effector genes. The invention further relates to various uses of the reporter vectors, including the determination of a property of a cell, preferably a cell type, state or fate transition, in gene and viral therapy, drug discovery or validation. | 2021-11-04 |
20210343369 | MATHEMATICAL PROCESSES FOR DETERMINATION OF PEPTIDASE CLEAVAGE - This invention relates to the identification of peptidase cleavage sites in proteins and in particular to identification protease cleavage by the endopeptidases. The present invention utilizes a bioinformatic methodology for prediction of peptidase cleavage sites based on principal component analysis and based on training sets obtained by experimental protein cleavage. This invention is not limited to training sets derived from CSL approaches, nor to any other experimental determination of cleavage site. | 2021-11-04 |
20210343370 | CROSS-VARIANT POLYGENIC PREDICTIVE DATA ANALYSIS - There is a need for more effective and efficient predictive data analysis solutions for processing genetic sequencing data. This need can be addressed by, for example, techniques for performing predictive data analysis based on genetic sequences that utilize at least one of cross-variant polygenic risk modeling using genetic risk profiles, cross-variant polygenic risk modeling using functional genetic risk profiles, per-condition polygenic clustering operations, cross-condition polygenic predictive inferences, and cross-condition polygenic diagnoses. | 2021-11-04 |
20210343371 | HIGH-THROUGHPUT INFECTIOUS DISEASE DIAGNOSIS PLATFORM - A sample (e.g. saliva and/or blood) may be takes from a test subject (e.g. a human patient). The sample may be processes to extract a testable substance. The testable substance may be processed by a mass spectrometer in order to generate a mass spectrometry profile of the sample. If the sample includes an infectious disease, then the infectious disease may be reflected in the mass spectrometry profile. The mass spectrometry profile may be compared to a database of mass spectrometry profiles from samples of test subjects whom have already be diagnoses with a particular infectious disease. If the mass spectrometry profile of the test subject being diagnosed is substantially similar to one or more mass spectrometry profiles in the predetermined database, then a diagnosis of an infection disease may be made in an accurate, efficient, and time sensitive manner. | 2021-11-04 |
20210343372 | METHODS AND SYSTEMS FOR DYNAMIC VARIANT THRESHOLDING IN A LIQUID BIOPSY ASSAY - Methods, systems, and software are provided for validating a somatic sequence variant in a subject having a cancer condition. Sequence reads are obtained from sequencing cell-free DNA fragments in a liquid biopsy sample of the subject. Sequence reads are aligned to a reference sequence. A variant allele fragment count and locus fragment count are identified for a candidate variant that maps to a locus in the reference sequence. The variant allele fragment count is compared against a dynamic variant count threshold for the locus. The threshold is based on a pre-test odds of a positive variant call for the locus, based on the prevalence of variants in a genomic region including the locus in a cohort of subjects having the cancer condition. The somatic sequence variant in the subject is validated, or rejected, when the variant allele fragment count for the candidate variant satisfies, or does not satisfy, the threshold. | 2021-11-04 |
20210343373 | SEQUENCE ALIGNMENT FILTERING PROCESSING METHOD, SYSTEM AND DEVICE, AND READABLE STORAGE MEDIUM - A filter processing method for a sequence alignment is provided. The method includes: searching for absolute locations of all seeds of a to-be-aligned sequence in a reference sequence; performing segmentation on the absolute locations of the seeds to obtain relative locations of the seeds; dividing the reference sequence into multiple reference sub-sequences and establishing a mapping relationship between a relative location of each seed and a corresponding reference sub-sequence; determining a reference sub-sequence to which each seed belongs and counting the occurrence numbers of the seeds in each reference sub-sequence; filtering out a reference sub-sequence that does not meet a preset condition to obtain a target reference sub-sequence; and recovering a real CAL based on a difference between a relative location and an absolute location of each seed in the target reference sub-sequence. | 2021-11-04 |
20210343374 | MONTE CARLO METHOD FOR THE AUTOMATED AND HIGHLY EFFICIENT CALCULATION OF KINETIC DATA OF CHEMICAL REACTIONS - The present invention relates to a computer-implemented method for calculating transition states of a chemical reaction, and to a system for data processing comprising means for carrying out the method, to a computer program comprising instructions which cause a computer to execute the method and to the use of the computer program. | 2021-11-04 |
20210343375 | METHOD AND APPARATUS FOR PROVIDING A PHARMACOKINETIC DRUG DOSING REGIMEN - Systems and methods providing a clotting factor VIII dosing regimen are disclosed. The systems and methods include determining an estimated pharmacokinetic profile of a patient using a Bayesian model of pharmacokinetic profiles of sampled patients. The systems and methods can determine a first dosing regimen for a first dosing interval including (i) a first dosage and (ii) a first therapeutic plasma protein level in the patient varying over time based at least upon the estimated pharmacokinetic profile. The systems and methods can determine a second dosing regimen for a second dosing interval including (i) a second dosage and (ii) a second therapeutic plasma protein level in the patient varying over time. The estimated pharmacokinetic profile can be adjusted based on previous patient treatments. Further, a user can select which days a dosage is to be applied such that the protein level does not fall below a target trough. | 2021-11-04 |
20210343376 | METHODS AND SYSTEMS FOR A PHYSIOLOGICALLY INFORMED VIRTUAL SUPPORT NETWORK - A system for a physiologically informed virtual support network includes a computing device a support module operating on the computing device, the support module configured to receive a biological extraction related to a user, wherein the biological extraction comprises an element of user physiological data, generate a request for the user to join a support network as a function of the biological extraction, identify a support network for the user from a plurality of support networks, as a function of the biological extraction; and display to the user on the computing device, the identified support network, and a machine-learning module operating on the computing device, the machine-learning module configured to assess a membership of the plurality of support networks, organize member participants of the plurality of support networks utilizing a first machine-learning process and assign member participants to the plurality of support networks as a function of the first machine-learning process. | 2021-11-04 |
20210343377 | Medical Registration System - Patient identification is transmitted to a health care provider prior to the patient arriving at the health care provider. The patient identification may be a driver's license, health insurance card, or other identification, and may be used to pre-register the patient. The transmission may include other information, such as health status, purpose of visit, intended procedures, symptoms, or other information. The transmission may be made via a device, such as a cellular telephone, where the information may be encrypted and transmitted using a secure mechanism. The system may be used by ambulance personnel, paramedics, or other emergency responders to notify a hospital, for example, of an inbound patient, as well as by patients prior to an appointment. The system may also be used by clinicians or other health care providers to prepare for emergent or non-emergent patients prior to arrival. | 2021-11-04 |
20210343378 | MEDICAL STATUS PERSONAL DEVICE - A personal medical status device attaches to a medical testing kit to receive a test result and status for a medical condition of a user. The personal medical status device authenticates the user to provide the status of the condition using a fingerprint scanner as well as other methods. A clock display provides time related information based on the latest test result. The clock display can show the time from the previous test or time until the next test. A test result display provides a visual indicator of the status of the user without compromising privacy. A proprietary dock allows connection to the medical testing kit while being tamper-proof. | 2021-11-04 |
20210343379 | Systems and Methods for Removing Personal Data from Digital Records - Method for removing personal data from a medical record includes receiving a first digital medical record associated with a first patient, the first digital medical record including personal data and medical data; generating a first fingerprint by applying a cryptographic function to at least a portion of the personal data; transferring the first fingerprint to one or more computing devices; identifying a first alias associated with the first fingerprint, wherein identifying the first alias includes at least one of determining that the first fingerprint was previously stored along with the first alias, and generating the first alias and storing the first fingerprint and the first alias; transferring the first alias to the workstation of the first user; and generating a first clean digital medical record based on the first alias and the first digital medical record. | 2021-11-04 |
20210343380 | LOCATION-BASED HEALTHCARE COLLABORATION, DATA MANAGEMENT AND ACCESS CONTROL - The locations of electronic devices in an institutional facility are determined based on interaction with the wireless mobile devices of users who roam though the facility and interact with (or are detected by) the devices. | 2021-11-04 |
20210343381 | HEALTHCARE DATA SYSTEM - In accordance with one embodiment, a system and method is used for collecting, measuring, and reporting on data associated with healthcare treatment. A healthcare data system collects data from a patient using an interactive voice response system (IVR). The IVR periodically contacts the patient with questions as to severity of symptoms. The severity data is processed along with prior collected data to report treatment progress to the patient, to a provider, to a provider organization and to a payer. Symptom weights are entered by a provider and used in measuring progress. Other methods to collecting severity data may be used, such as email and text messaging. | 2021-11-04 |
20210343382 | PATIENT-CENTRIC HEALTH RECORD SYSTEM AND RELATED METHODS - A patient-centric electronic health record (EHR) system is provided. The patient-centric EHR system allows for a patient to have centralized storage of his/his health records. The health records associated with the patient may be obtained from multiple sources in an EHR network, where the EHR network comprises multiple nodes storing health records associated with the patient. By obtaining the health records associated with the patient from multiple sources allows for a patient to have a centralized storage of his/her health records. Also, a centralized storage of health records associated with a patient also allows for the patient to have certain level of control over his/his health records, such as providing his/her health records to a third-party. | 2021-11-04 |
20210343383 | CUSTOMIZABLE COMMUNICATION PLATFORM WITH ALERT TAGS - Processing patient information and other treatment plan information may require access to a patient profile and other third parties involved in the patient treatment plan. One example method includes linking a mobile device and a health care provider server, requesting a patient response to a message including a query of a health-related issue, wherein the response is at least one of biometric, objective and subjective, receiving the patient response to the query, determining based on at least one predetermined alert criteria an urgency level of the patient response based on the health-related issue, tagging the patient response as an urgent tagged response if the determined urgency level exceeds a predetermined urgency threshold of the patient for the health-related issue based on the at least one predetermined alert criteria and providing the request and the urgent tagged response to a healthcare provider. | 2021-11-04 |
20210343384 | SYSTEMS AND METHODS FOR MANAGING AUTOIMMUNE CONDITIONS, DISORDERS AND DISEASES - An artificial intelligence (AI) system and methods for management of an autoimmune or inflammatory condition, disorder or disease in a patient for the diagnosis, prognosis, or risk assessment of symptoms thereof. The AI system includes patient and provider applications and a payer application interface accessible via a communications network. The system contains a data-driven recommendation engine using machine learning and/or deep learning based on active monitoring of patients with an autoimmune or inflammatory-related condition, disorder, or disease. The system can alert clinicians to an impending symptom flare and provide a treatment solution that reduces symptom severity, reduces or eliminates the onset. | 2021-11-04 |
20210343385 | METHOD AND SYSTEM FOR MANAGING A PARTICIPANT HEALTH REGIMEN - A system managing a participant health regimen can include any or all of: a computing system; a set of dashboards; a set of models; a user device; a sensor system; one or more supplementary devices; a client application; and/or any other components. A method for managing a participant health regimen includes collecting a set of inputs; determining a participant condition; determining a barrier associated with the participant; and determining and/or triggering an action. Additionally or alternatively, the method can include training and/or retraining any or all of a set of models and/or any other processes. | 2021-11-04 |
20210343386 | SYSTEM AND METHOD FOR DISPENSING MEDICATION - A method for detecting diversion may include receiving, from a dispensing cabinet including medication, data associated with a plurality of individuals accessing the dispensing cabinet to retrieve and/or return the medication. Diversion of the medication may be detected by at least applying, to at least a portion of the data received from the dispensing cabinet, a machine learning model trained to detect diversion. An identity of a first individual responsible for the diversion may be determined based on the data received from the dispensing cabinet. In response to the determination of the first individual as being responsible for the diversion, an investigative workflow may be triggered at the dispensing cabinet. Related systems and articles of manufacture, including apparatuses and computer program products, are also disclosed. | 2021-11-04 |
20210343387 | MEDICAMENT DELIVERY DEVICES WITH WIRELESS CONNECTIVITY AND EVENT DETECTION - A computer-implemented method includes establishing a communications link, via a short-range wireless protocol, between a mobile computing device and a medicament delivery device. A user input selecting a motion profile of the medicament delivery device is then received in response to an input prompt. A wireless signal is received from the medicament delivery device, the wireless signal associated with an actual motion profile of the medicament delivery device. A notification is produced to indicate a motion difference between the actual motion profile and the target motion profile. In some embodiments, the method optionally includes modifying the target motion profile based on the motion profile over a time period of at least one week, the notification indicating a motion difference between the motion profile and the modified target motion profile. | 2021-11-04 |
20210343388 | Dosage Determination Apparatus - An apparatus for use with electronic health records of a patient to provide a medicament dose instruction for the patient, including a processor configured to search the electronic health records for a medication order of the patient pertaining to the medicament. The processor is configured to search the electronic health records for the at least one medical condition of the patient referenced in the medication order and to determine the prescribed medicament dose as a function of the at least one medical condition of the patient and output the prescribed medicament dose for filling. | 2021-11-04 |
20210343389 | SYSTEMS AND METHODS OF PAIN TREATMENT - A computer-implemented method for determining a pain treatment for a person or an animal with a pain condition, including identifying, by a processor, a level of pain being experienced by the person or animal. A method in which a level of pain experienced by the person is determined by obtaining a multimodal image or video the person, and determining the level of pain, on the basis of this multimodal image or video, via a trained Machine Learning Algorithm. The Machine Learning Algorithm is previously trained based on a training multimodal image or video of different subjects, each annotated by a benchmark pain level, determined by a biometrist and/or a health care professional based on extensive biometric data concerning the subject considered. | 2021-11-04 |
20210343390 | Tennis racket sensor system and coaching device with ball machine integration - Embodiments of the present invention are directed to devices, systems, and methods for measuring values obtained from one or more sensors installed on a player's tennis racket and/or worn on the player's body, and using those values to calculate various parameters, such as the physical position and motion of the tennis racket. Embodiments may translate the parameters and derive one or more occurrences corresponding to phases of a tennis point or drill and then generate real-time audible, visual, and/or haptic coaching prompts and other related commands and signals, for the purpose of improving a player's motor skills. Embodiments may also send and receive messages to/from other embodiments, thereby permitting a player to interact with other players, coaches, or devices, such as ball machines and cameras. | 2021-11-04 |
20210343391 | DISTRIBUTED COMPUTER SYSTEM FOR COORDINATING MESSAGING AND FUNDING FOR HEALTHCARE EXPENSES INCLUDING FUNDING VIA NETWORKED CROWDSOURCING - A distributed computer system comprises one or more patient system, configured to be operated by patients seeking provider services, a front-end web server to interface to the one or more patient system, a back-end server system coupled to the front-end web server to receive patient information, a healthcare provider system that provides information about a procedure needed by a patient unable to pay for the procedure, providing the information to the back-end server system, and a donor computer system, for accepting and receiving messages from the back-end server system about funding patient procedures. | 2021-11-04 |
20210343392 | METHODS AND SYSTEMS FOR SYSTEM FOR NUTRITIONAL RECOMMENDATION 140 USING ARTIFICIAL INTELLIGENCE ANALYSIS OF IMMUNE IMPACTS - A system for nutritional recommendation using artificial intelligence analysis of immune impacts includes a computing device designed and configured to receive a test result detecting an effect of at least an aliment on at least a biomarker, determine an immune system impact of the at least an aliment as a function of the at least a biomarker using a machine-learning process, the machine-learning process trained using a first training set relating biomarker levels to immune system function, generate a nutritional recommendation using the determined immune system impact, and provide the nutritional recommendation to the user. | 2021-11-04 |
20210343393 | HEALTH MANAGEMENT SYSTEM - To make it possible to manage health in consideration of the individual difference. A health management system according to the present invention includes a vital data acquisition unit configured to acquire vital data of a user, a dietary ingredient acquisition unit configured to acquire a dietary ingredient that the user ingests, an analysis processing unit configured to analyze a relationship between an intake of the dietary ingredient and improvement or deterioration of the vital data, and a dietary ingredient output unit configured to output the dietary ingredient of improving the vital data and the dietary ingredient of deteriorating the vital data. | 2021-11-04 |
20210343394 | MENTAL WELLNESS PLATFORM USING PERSONALIZED DREAM ANALYSIS - A dream analysis platform having a processor and a memory operatively coupled to the processor, the memory having stored thereon instructions for realizing aspects of the platform, including a plurality of symbols known to appear in dreams, each symbol stored in association with at least one corresponding possible meaning, and/or a subject's cognitive association with said symbol; a user interface comprising a plurality of screens to be shown on a user device having a display; an alarm configurable to awaken a user when the user is asleep and expected to be dreaming or at a time most convenient to the user; and a dream prompting engine configured to prompt a user to record a dream that they recalled when the alarm woke the user. | 2021-11-04 |
20210343395 | Data Integration System - A data integration system including an integration device is provided. The integration device receives a first DICOM data object including a first attribute item, searches for a second attribute item corresponding to the first attribute item, and convert the first attribute item of the first DICOM data object to the second attribute item. When the first DICOM data object is transferred from one medical institution to another medical institution, the integration device converts a medical record number that complies with one medical institution organizational architecture into another medical record number that complies with another medical institution organizational architecture to efficiently integrate medical data even if different medical institutions adopt different medical institution organizational architectures. | 2021-11-04 |
20210343396 | AUTOMATIC SETTING OF IMAGING PARAMETERS - The present application relates to a computer-implemented medical method of determining a patient-specific setting of at least one imaging parameter of an imaging device. The method includes acquiring patient data describing information relating to a patient and having impact on the setting of at least one imaging parameter of the imaging device and acquiring object data describing at least one property of at least one object of interest associated with the anatomy of the patient. The imaging parameter data is determined based on the patient data, describing a patient-specific setting of the at least one imaging parameter of the imaging device. | 2021-11-04 |
20210343397 | SURGICAL PLANNING SYSTEMS THAT AUTOMATICALLY ASSESS DIFFERENT POTENTIAL TRAJECTORY PATHS AND IDENTIFY CANDIDATE TRAJECTORIES FOR SURGICAL SYSTEMS - Surgical planning systems that automatically identify one or a plurality of different candidate trajectories to a defined intrabody treatment region. The systems can rank the identified candidate trajectories in an order of hierarchy based on defined parameters such as distance from a critical no-go location and whether a single or multiple different candidate trajectories are needed to provide coverage of the defined intrabody treatment region. The surgical planning systems are also configured to provide a User Interface that defines a workflow for an image-guided surgical procedure and allows a user to select one or more of the identified candidate trajectories steps in the workflow. | 2021-11-04 |
20210343398 | METHOD AND SYSTEMS FOR PREDICTING MEDICAL CONDITIONS AND FORECASTING RATE OF INFECTION OF MEDICAL CONDITIONS VIA ARTIFICIAL INTELLIDENCE MODELS USING GRAPH STREAM PROCESSORS - Systems and methods are disclosed for predicting one or more medical conditions utilizing digital images and employing artificial intelligent algorithms. The system offers accurate predictions utilizing quantized pre-trained deep learning model. The pre-trained deep learning model is trained on data samples and later refined as the system processes more digital images or new medical conditions are incorporated. One pre-trained deep learning model is used to predict the probability of one or more medical conditions and identify locations in the digital image effected by the one or more medical conditions. Further, one pre-trained deep learning model utilizing additional data and plurality of digital images, forecasts rate of infection and spread of the medical condition over time. | 2021-11-04 |
20210343399 | MEDICAL IMAGE PROCESSING APPARATUS, MEDICAL OBSERVATION APPARATUS, AND IMAGE PROCESSING METHOD - There is provided a medical image processing apparatus including: an association processing section configured to associate multiple medical captured images in which an observation target is imaged by each of multiple imaging devices including imaging devices in which one or both of an in-focus position and an in-focus range are different; and a compositing processing section configured to depth-composite each of a medical captured image for a right eye and a medical captured image for a left eye among the multiple medical captured images by using an associated other medical captured image. | 2021-11-04 |
20210343400 | Systems and Methods for Integrity Analysis of Clinical Data - Disclosed are implementations that include a method for dental data analysis including obtaining dental data for an individual, with the dental data being input radiographic image data of at least one dental object, and treatment data representative of one or more treatment procedures associated with the dental object, analyzing, by machine learning models, the input radiographic image data to identify one or more dental features associated with the dental object, and deriving, based on the treatment data and the identified one or more dental features, one or more integrity scores for the image data and the treatment data, with the one or more integrity scores being representative of potential integrity problems associated with the input radiographic image data and the treatment data. Deriving the integrity scores includes deriving a provider score representative of a potential integrity problem associated with a dental-care provider submitting the treatment data. | 2021-11-04 |
20210343401 | Blockchain-Based Technologies for Tracking Product Lifecycle - Blockchain-based technologies to facilitate traceability of products through their lifecycle, including design, development, manufacturing, supply chain, and use. The system provides transparent, secure traceability through product lifecycle, drawing insights from collected data and post-market activities. For example, the system could receive tracking data from a plurality of tracking sources along a product's lifecycle and generate one or more blocks in a blockchain to capture the tracking data from the plurality of tracking sources along the product's lifecycle in one or more distributed ledgers. | 2021-11-04 |
20210343402 | HYPOGLYCEMIC EVENT PREDICTION USING MACHINE LEARNING - Hypoglycemic event prediction using machine learning is described. A CGM platform includes a machine learning model trained using historical time series glucose measurements of a user population. Once trained, the machine learning model predicts hypoglycemic events for users. When predicting hypoglycemic events, a time series of glucose measurements for a day time interval is received. The glucose measurements of this time series for the day time interval are provided by a CGM system worn by the user. The machine learning model predicts whether a hypoglycemic event will occur during a night time interval that is subsequent to the day time interval by processing the time series of glucose measurements using the trained machine learning model. The hypoglycemic event prediction is then output, such as via communication and/or display of a notification about the hypoglycemic event prediction. | 2021-11-04 |
20210343403 | METHOD, SYSTEM, AND COMPUTER PROGRAM PRODUCT FOR PHYSICIAN EFFICIENCY MEASUREMENT AND PATIENT HEALTH RISK STRATIFICATION - A method for measuring physician efficiency and patient health risk stratification is disclosed. Episodes of care are formed from medical claims data and an output process is performed. Physicians are assigned to report groups, and eligible physicians and episode assignments are determined. Condition-specific episode statistics and weighted episode statistics are calculated, from which physician efficiency scores are determined. | 2021-11-04 |
20210343404 | HEALTH MANAGEMENT SYSTEM - Described herein is an integrated health management system, and method that includes a pre-packaged tablet delivery apparatus configured to deliver pre-packaged tablets to a user. The delivery apparatus comprising an alignment guide, a processor modulated differential drive used for the directional control of the pre-packaged tablets, a sensor for sensing a location and an orientation of the pre-packaged tablet, a cutter mechanism, and cutter mechanism control logic. The sensed location and orientation of the pre-packaged tablet is used to modulate the differential drive. The cutter mechanism control logic is configured to monitor the sensed pre-packaged tablet location and orientation, then initiate a cutting sequence responsive to at least one of the predetermined configuration within the processor and the dynamic configuration responsive to determining an optimal sensed location and orientation. The control logic generates and logs a message into the distributed database responsive to the cutting sequence. | 2021-11-04 |
20210343405 | METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR EVALUATING RISKS ASSOCIATED WITH VASCULAR PATHOLOGIES - Provided are methods for estimating a Reserve Strength Ratio in a segment of a blood vessel or a lymphatic vessel. In some embodiments, the methods include providing a multiphase Digital Imaging and Communications in Medicine (DICOM) stack of computed tomography (CT) or magnetic resonance (MR) images of a blood vessel or a lymphatic vessel to software, wherein the stack of DICOM images is organized by phase; providing the output from the software to a Model Segmentation procedure in which the first phase of the DICOM stack (1st phase) is segmented to create the Geometric Model and finite element mesh of the 1st phase and a map of Local Thickness Measure; uploading a mesh created for the first phase onto the DICOM image volume; mapping each voxel position of the mesh for the first phase to all the subsequent meshes using an optical flow (OF) algorithm; creating deformed meshes at all phases from the maps of displaced nodes; estimating local curvature at each node location for all the phases using a finite difference method; evaluating the local deformation at each phase from the meshes corresponding to all the phases using an element approach; calculating local thickness at each node for all the phases using the deformation calculation at each phase and the thickness measured at the first phase and using the assumption of incompressibility for the aortic wall; and calculating the local principal stresses for each element from an extension of Laplace's equation applied to the local principal directions of curvatures, whereby the Reserve Strength Ratio in a segment of a blood vessel or a lymphatic vessel is estimated. Also provided are methods for predicting an increased risk of rupture of a blood vessel or a lymphatic vessel, methods for identifying subjects as being at risk for rupture of a blood vessel or a lymphatic vessel, and computer program products with computer executable instructions embodied in computer readable medium for performing the methods disclosed herein. | 2021-11-04 |
20210343406 | INTEGRATIVE MACHINE LEARNING FRAMEWORK FOR COMBINING SENTIMENT-BASED AND SYMPTOM-BASED PREDICTIVE INFERENCES - Techniques for integrative machine learning using sentiment-based predictive inferences and symptom-based predictive are discussed herein. In one example, a method includes determining, based on one or more health monitoring logs, a first distribution of symptomatic prediction labels over a first period of time associated with the one or more health monitoring logs; processing the one or more health monitoring logs and using a sentiment detection machine learning model to determine a second distribution of extracted sentiment scores over the first period of time; generating, based on the first distribution and the second distribution, an aggregate distribution of inferred health-related predictions over the first period of time; and causing display of an aggregate distribution user interface that is configured to display the aggregate distribution. | 2021-11-04 |
20210343407 | METHODS AND SYSTEMS FOR DYNAMIC CONSTITUTIONAL GUIDANCE USING ARTIFICIAL INTELLIGENCE - A system for dynamic conditional guidance using artificial intelligence. The system includes a computing device, designed and configured to c calculate a diagnostic output using a biological extraction related to a user, and a first machine-learning process, wherein the diagnostic output identifies a prognostic label and an ameliorative label; classify, using a physiological classifier and a first classification algorithm, the diagnostic output to a physiological state for the user; generate a vector output for the physiological state for the user, using a clustering algorithm; receive a user input generated in response to the diagnostic output; update the vector output using the user input; and identify a recommendation for the user, utilizing the updated vector output. | 2021-11-04 |
20210343408 | CROSS-VARIANT POLYGENIC PREDICTIVE DATA ANALYSIS - There is a need for more effective and efficient predictive data analysis solutions for processing genetic sequencing data. This need can be addressed by, for example, techniques for performing predictive data analysis based on genetic sequences that utilize at least one of cross-variant polygenic risk modeling using genetic risk profiles, cross-variant polygenic risk modeling using functional genetic risk profiles, per-condition polygenic clustering operations, cross-condition polygenic predictive inferences, and cross-condition polygenic diagnoses. | 2021-11-04 |
20210343409 | CROSS-VARIANT POLYGENIC PREDICTIVE DATA ANALYSIS - There is a need for more effective and efficient predictive data analysis solutions for processing genetic sequencing data. This need can be addressed by, for example, techniques for performing predictive data analysis based on genetic sequences that utilize at least one of cross-variant polygenic risk modeling using genetic risk profiles, cross-variant polygenic risk modeling using functional genetic risk profiles, per-condition polygenic clustering operations, cross-condition polygenic predictive inferences, and cross-condition polygenic diagnoses. | 2021-11-04 |
20210343410 | Method to the automatic International Classification of Diseases (ICD) coding for clinical records - The present invention is a system and a method to classify clinical records into International Classification of Diseases (ICD) codes. The system includes a processor, and a memory communicatively coupled to the processor. The memory includes a generator (G), a feature extractor, a discriminator (D), a label encoder, and a keywords reconstructor. The generator (G) generates synthesized features corresponding to ICD code descriptions. The feature extractor extracts real latent features from clinical documents and generates real features by training a GANs. The generator (G) generates synthesized features after the GANs are trained and calibrate a binary code classifier with the real latent features generated by the feature extractor for a low-shot ICD code l. The feature extractor generates code-specific latent features conditioned on a textual description of each ICD code description by using a WGAN-GP. The discriminator (D) distinguishes between the synthesized features and the real features and determines whether the features are the real features or synthetic features. The label encoder encodes a sequence of keywords in the ICD code description into a sequence of hidden states. | 2021-11-04 |
20210343411 | DEEP LEARNING-BASED DIAGNOSIS AND REFERRAL OF DISEASES AND DISORDERS USING NATURAL LANGUAGE PROCESSING - Disclosed herein are methods and systems for Artificial Intelligence (AI)-based methods for performing medical diagnosis of diseases and conditions. An automated natural language processing (NLP) system performs deep learning techniques to extract clinically relevant information from electronic health records (EHRs). This framework provides a high diagnostic accuracy that demonstrates a successful AI-based method for systematic disease diagnosis and management. | 2021-11-04 |
20210343412 | INTERVENTION CONTENT ESTIMATION DEVICE, METHOD, AND PROGRAM - An object of an aspect of the present invention is to enable estimation of more effective intervention content in order to make a person's health state approximate to an ideal health state, and in a learning phase, measurement values and target values of a health state for a plurality of days in the past are sequentially input to a learning machine configured by a multilayer neural network, and the learning machine is caused to perform learning such that a target achievement expectation value obtained by using a success rate that allows the user's health state to approximate to an ideal health state, continuity that allows the health state approximate to the ideal health state to be maintained, and a target value of the health state to be subsequently recommended and the target achievement expectation value thereof that reflect a temporal change in the health state and a history of interventions until a present time are output. In an estimation phase, measurement values and target values of the user's health state in the last three days are input to the estimation model after learning, and the target value of the health state to be recommended, which is output from the estimation model at this time, is presented to the user. | 2021-11-04 |
20210343413 | KNOWLEDGE GENERATION SYSTEM, METHOD, AND PROGRAM - A sentence extraction means extracts a sentence that is different from a cause or a coping method included in knowledge corresponding to a predetermined event and is related to the predetermined event, from an unconfirmed work record. A group selection means selects a group based on a similarity between a first character string of the extracted sentence that is likely to represent a cause or a coping method and a group generated in advance. A character string selection means selects a second character string from the group, and a replacement means replaces the first character string in the work record with the second character string. When a predetermined condition is satisfied, a knowledge generation means selects a character string from the group and generates new knowledge based on the character string. | 2021-11-04 |
20210343414 | METHODS AND APPARATUS FOR PHENOTYPE-DRIVEN CLINICAL GENOMICS USING A LIKELIHOOD RATIO PARADIGM - Methods and apparatus for providing clinical decision support. The method comprises receiving phenotype information for a patient, determining a likelihood ratio for each of the phenotype features included in the received phenotype information with respect to each of a plurality of diseases, determining, based on the likelihood ratio for each of the phenotype features, a composite likelihood ratio for each of the plurality of diseases, ranking the plurality of diseases based, at least in part, on the determined composite likelihood ratios, and displaying at least some of the ranked plurality of diseases. | 2021-11-04 |
20210343415 | DISAMBIGUATION OF AMBIGUOUS PORTIONS OF CONTENT FOR PROCESSING BY AUTOMATED SYSTEMS - Mechanisms are provided for implementing a disambiguation engine for disambiguating content. Electronic content is received from a corpus of electronic content, and analyzed to identify an ambiguous portion of content. The ambiguous portion of content is a portion of the electronic content whose meaning is not made explicit in the ambiguous portion of content. A context associated with the ambiguous portion of content is determined and a set of one or more context based ambiguous content interpretation rules associated with the determined context is applied to the ambiguous portion of content to generate an interpretation of the ambiguous portion of content. The ambiguous portion of content is annotated based on the interpretation to generate disambiguated electronic content which is stored for processing as part of a subsequent operation. | 2021-11-04 |
20210343416 | REDUCED POWER MACHINE LEARNING SYSTEM FOR ARRHYTHMIA DETECTION - Techniques are disclosed for using feature delineation to reduce the impact of machine learning cardiac arrythmia detection on power consumption of medical devices. In one example, a medical device performs feature-based delineation of cardiac electrogram data sensed from a patient to obtain cardiac features indicative of an episode of arrythmia in the patient. The medical device determines whether the cardiac features satisfy threshold criteria for application of a machine learning model for verifying the feature-based delineation of the cardiac electrogram data. In response to determining that the cardiac features satisfy the threshold criteria, the medical device applies the machine learning model to the sensed cardiac electrogram data to verify that the episode of arrhythmia has occurred or determine a classification of the episode of arrythmia. | 2021-11-04 |
20210343417 | CROSS-VARIANT POLYGENIC PREDICTIVE DATA ANALYSIS - There is a need for more effective and efficient predictive data analysis solutions for processing genetic sequencing data. This need can be addressed by, for example, techniques for performing predictive data analysis based on genetic sequences that utilize at least one of cross-variant polygenic risk modeling using genetic risk profiles, cross-variant polygenic risk modeling using functional genetic risk profiles, per-condition polygenic clustering operations, cross-condition polygenic predictive inferences, and cross-condition polygenic diagnoses. | 2021-11-04 |
20210343418 | COMMUNITY RESOURCE NETWORK ONEVIEW - Determining risks based on data from a plurality of disassociated domains can comprise obtaining data regarding an individual from each of the plurality of disassociated domains. The data regarding the individual can have format and content specific to the domain from which it is obtained. The obtained data can be tagged based on the domain from which it is obtained and a set of predefined elements for each of the plurality of disassociated domains. The tagged data can be associated with one or more of a plurality of predefined groups. Each group can represent one or more of the plurality of disassociated domains. A diagnostic process identifying a risk for the individual in each of the domains can be performed on the tagged data and a user interface including a visual representation of the identified risk in each domain in each of the predefined groups can be provided. | 2021-11-04 |
20210343419 | PREDICTING LIKELIHOOD AND SITE OF METASTASIS FROM PATIENT RECORDS - Systems and methods are provided for predicting metastasis of a cancer in a subject. A plurality of data elements for the subject's cancer is obtained, including sequence features comprising relative abundance values for gene expression in a cancer biopsy of the subject, optional personal characteristics about the subject, and optional clinical features related to the stage, histopathological grade, diagnosis, symptom, comorbidity, and/or treatment of the cancer in the subject, and/or a temporal element associated therewith. One or more models are applied to the plurality of data elements, determining one or more indications of whether the cancer will metastasize. A clinical report comprising the one or more indications is generated. | 2021-11-04 |
20210343420 | SYSTEMS AND METHODS FOR PROVIDING ACCURATE PATIENT DATA CORRESPONDING WITH PROGRESSION MILESTONES FOR PROVIDING TREATMENT OPTIONS AND OUTCOME TRACKING - Described herein is a system, method, and non-transitory computer-readable medium, to provide accurate patient data corresponding with diagnosis and/or progression milestones for a patient with a medical condition and/or illness. Also described herein are methods and systems for providing a graphical user interface including an interactive patient information timeline. | 2021-11-04 |
20210343421 | DATA MODEL PROCESSING IN MACHINE LEARNING EMPLOYING FEATURE SELECTION USING SUB-POPULATION ANALYSIS - A computer system selects features of a dataset for predictive modeling. A first set of features that are relevant to outcome are selected from a dataset comprising a plurality of cases and controls. A subset of cases and controls having similar values for the first set of features is identified. The subset is analyzed to select a set of additional features relevant to outcome. A first and second predictive model are evaluated to determine that the second predictive model more accurately predicts outcome, wherein the first predictive model is based on the first set of features and the second predictive model is based on the first set of features and the additional features. The second predictive model is utilized to predict outcomes. Embodiments of the present invention further include a method and program product for selecting features of a dataset for predictive modeling in substantially the same manner described above. | 2021-11-04 |