Abstract: The present disclosure relates to a system and method capable of capturing, processing and analyzing electroencephalography (EEG) signals to deliver or support an expert interpreter in delivering a clinically-relevant interpretation for patients with Alzheimer's disease. Such interpretations include identification of diagnostic, prognostic or risk stratification neurobiomarkers to evaluate subjects for suitability in clinical trials, monitor for clinical conditions, detect adverse effects of interventions, identify efficacy of interventions or identify subjects that are more or less likely to respond to therapeutic interventions in a specified manner.

Abstract: The present disclosure relates to a system and method capable of capturing, processing and analyzing electroencephalography (EEG) signals to deliver or support an expert interpreter in delivering a clinically relevant interpretation. Such interpretations include identification of diagnostic, prognostic or risk stratification neurobiomarkers to evaluate subjects for suitability in clinical trials, monitor for clinical conditions, detect adverse effects of interventions, identify efficacy of interventions or identify subjects that are more or less likely to respond to therapeutic interventions in a specified manner. The system enables actions to be performed either in real-time or asynchronously.

Abstract: The present disclosure relates to a system and method capable of capturing, processing and analyzing electroencephalography (EEG) signals, including features, patterns or signatures with relevance to diagnosis, prognosis, risk stratification or other clinically relevant interpretation, by means of a low-profile head-mounted wireless recording device that may be rapidly applied to the individual being examined. The head-mounted recording device is comprised of an array of electrode elements that contact the subject's forehead, a docking site and an acquisition device that receives, processes, and transmits the EEG data. In one embodiment, the device simultaneously collects additional data, including but not limited to accelerometer data, heart rate, sound level, light level, temperature and/or pulse oximetry.

Abstract: Methods for determining the presence or absence of a plurality of analytes in a sample with dual-acceptor time-resolved fluorescence resonance energy transfer are provided.

Abstract: Luminescence assays and compositions for assay of biomolecular interaction and activity and detection of modulators of biomolecular interaction and activity are provided. Technology described herein has utility in a variety of assay formats and types, for example, simultaneous monitoring multiple parameters which affect interaction and activity of biological molecules. Compositions and methods are provided herein which include a first solid-phase support associated with a first specific binding agent and a photosensitizer; a second solid-phase support associated with a second specific binding agent and a first emission system; and a third solid-phase support associated with a third specific binding agent and a second emission system.

Abstract: Methods and compositions for glycogen synthase kinase 3 assays continue to be required for detection of glycogen synthase 3 kinase, assessment of glycogen synthase 3 kinase activity and identification of modulators of glycogen synthase 3 kinase. Methods and compositions for glycogen synthase kinase 3 assays are provided herein based on the discovery of a previously unknown interaction between glycogen synthase 3 kinase and eukaryotic translation initiation factor 4E-binding protein 1 which serves as a substrate for glycogen synthase kinase 3-alpha and glycogen synthase kinase 3-beta.

Abstract: A computer-based system is disclosed for predicting future health of individuals comprising:(a) a computer comprising a processor containing a database of longitudinally-acquired biomarker values from individual members of a test population, subpopulation D of aid members being identified as having acquired a specified biological condition within a specified time period or age interval and a subpopulation D being identified as not having acquired the specified biological condition within the specified time period or age interval; and(b) a computer program that includes steps for:(1) selecting from said biomarkers a subset of biomarkers for discriminating between members belonging to the subpopulations D and D, wherein the subset of biomarkers is selected based on distributions of the biomarker values of the individual members of the test population; and(2) using the distributions of the selected biomarkers to develop a statistical procedure that is capable of being used for:(i) classifying members of the test