Patent application number | Description | Published |
20120015830 | MICRORNA PROFILES FOR EVALUATING MULTIPLE SCLEROSIS - The present invention provides methods, systems, and kits for evaluating multiple sclerosis (MS) in a patient. Particularly, the invention provides convenient miRNA-based tests for evaluating a patient for MS, including for diagnosing MS, for excluding MS as a diagnosis, for determining the presence of disease activity associated with MS, and for monitoring the course of disease or efficacy of treatment for MS. | 01-19-2012 |
20140107934 | SYSTEMS AND METHODS FOR DETERMINING THE PROBABILITY OF A PREGNANCY AT A SELECTED POINT IN TIME - The present invention generally relates to systems and methods for determining the probability of a pregnancy at a selected point in time. Systems and methods of the invention employ an algorithm that has been trained on a reference set of data from a plurality of women for whom at least one of fertility-associated phenotypic traits, fertility-associated medical interventions, or pregnancy outcomes are known, in which the algorithm accounts for any woman who ceases pregnancy attempts prior to reaching a live birth outcome. | 04-17-2014 |
20140107991 | SYSTEMS AND METHODS FOR DETERMINING THE PROBABILITY OF A PREGNANCY AT A SELECTED POINT IN TIME - The present invention generally relates to systems and methods for determining the probability of a pregnancy at a selected point in time. Systems and methods of the invention employ an algorithm that has been trained on a reference set of data from a plurality of women for whom at least one of fertility-associated phenotypic traits, fertility-associated medical interventions, or pregnancy outcomes are known, in which the algorithm accounts for any woman who ceases pregnancy attempts prior to reaching a live birth outcome. | 04-17-2014 |
20150142331 | METHODS AND DEVICES FOR ASSESSING RISK OF FEMALE INFERTILITY - The invention generally relates to methods and devices for assessing risk of female infertility. In certain aspects, methods of the invention involve obtaining a sample, conducting an assay on at least one infertility-associated biomarker, and assessing risk to the patient of developing early-onset decrease in fertility based upon results of the assay. | 05-21-2015 |
20150211068 | METHODS FOR ASSESSING WHETHER A GENETIC REGION IS ASSOCIATED WITH INFERTILITY - The invention generally relates to methods for assessing whether a genetic region is associated with infertility. | 07-30-2015 |
Patent application number | Description | Published |
20110015865 | DETERMINATION OF CORONARY ARTERY DISEASE RISK - Markers and methods useful for assessing coronary artery disease in a subject are provided, along with kits for measuring their expression. Also provided are predictive models, based on the markers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. | 01-20-2011 |
20110184712 | PREDICTIVE MODELS AND METHODS FOR DIAGNOSING AND ASSESSING CORONARY ARTERY DISEASE - Biomarkers useful for diagnosing and assessing the extent of coronary artery disease (CAD) are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. In a preferred embodiment, the biomarkers are organized into clustered groups. The expression level of the biomarkers within a group are highly correlated to each other in normal and disease states. Expression values of genes chosen from each of two, three, four or five of the clustered gene groups, A, B, C, D, E may be used. Alternatively, expression values of genes chosen from the groups are combined into a metagene. Preferred biomarkers include S100A12, S100A8, S100A9, BCL2A1, and F5 (group A); XK, P62, and FECH (group B); TUBB2 (group C); IFNG, PDGFB, VSIG4, and TNF (group D); CSF3R, TLR5, CD46, and NCF1 (group E); S100A12, S100A9, BCL2A1, TXN and CSTA (group I); OLIG1, OLIG2, ADORA3, CLC, and SLC29A1 (group II); and CBS and ARG1 (group IV). | 07-28-2011 |
20120036101 | PREDICTIVE MODELS AND METHOD FOR ASSESSING AGE - Biomarkers useful for diagnosing and assessing physiological age are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. In a preferred embodiment, the biomarkers include a group of biomarkers whose expression levels are highly correlated to each other. In a preferred embodiment, expression levels of CD248; CD248 and SLC 1A7; CD248 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LR-RN3; or CD248, SLC1A7 and one, two, three or four of the group consisting of CCR7, B3GAT1, VSIG4 and LRRN3 are determined. | 02-09-2012 |
20130013219 | Determining Susceptibility To A Sudden Cardiac Event - Disclosed herein is a method of do terming the likelihood of a sudden cardiac event, such as an arrythmia, in a subject. Also disclosed is a method of determining whether a subject is at risk of a sudden cardiac event arid whether the subject would benefit from a treatment such as implantation of an ICD. | 01-10-2013 |
20130325356 | METHODS FOR DETERMINING HYDRATION OR DEHYDRATION LEVEL IN A SUBJECT - Methods for ascertaining a dehydration or hydration level in a subject are described. The methods comprise determining the concentration of a salivary indicator and, in some embodiments, assigning a hydration or dehydration level based on the salivary indicator concentration after mathematical transformation of the value and with regard to previously-determined, transformed baseline values or with regard to a correlation. | 12-05-2013 |
20140156198 | Determining Coronary Artery Disease Risk - Markers and methods useful for assessing coronary artery disease in a subject are provided, along with kits for measuring their expression. Also provided are predictive models, based on the markers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. | 06-05-2014 |