Abstract: Disclosed are systems and methods for utilizing electronic health record data (EHR) to group patients with diagnoses of a common disease of interested (e.g. Parkinson's disease) into phenotype clusters that share common clusters of other diagnosis codes (in addition to the Parkinson's diagnosis, for example). The phenotype clusters can be processed with genetic data to identify convergent genetic mutations within each phenotype cluster and output phenotypic-genomic clusters. Then, stem cells from the patients (e.g. iPSCs) may be differentiated into a desired cell type within each phenotypic-genomic cluster, and these differentiated cells may be assayed to identify defects in the various tissues types or organoids. Additionally, the differentiated cells can then be tested with candidate agents to determine whether the agents reverse the defective phenotypes identified in the differentiated tissues or organoids.

Abstract: Embodiments of various aspects described herein are directed to methods, systems, and computer readable media for predicting response of cells in vitro or in vivo (e.g., in a subject) to at least one or more agents (e.g., a library of agents). Methods, systems, and computer readable media described herein generally involve a computational algorithm to predict an expected post-treatment genome-wide expression profile of a cell or subject induced by an agent. The expected post-treatment genome-wide expression can be computed as a function of a pre-treatment genome-wide expression profile of the subject and known effects of the agent on gene expression in cells. Methods, systems, and computer readable media described herein can be used for drug repositioning, to select an appropriate treatment for a diseased subject, and/or to identify responsive subjects for a particular treatment.

Abstract: Embodiments of various aspects described herein are directed to systems (e.g., computer systems), computer-implemented methods, and non-transitory computer-readable storage media for identifying or selecting high value patients and applications thereof.

Abstract: A scalable infrastructure for searching multiple disparate textual databases by mapping their contents onto a structured ontology, e.g., of medical concepts. This framework can be leveraged against any database where free-text attributes are used to describe the constituent records.

Abstract: A scalable infrastructure for searching multiple disparate textual databases by mapping their contents onto a structured ontology, e.g., of medical concepts. This framework can be leveraged against any database where free-text attributes are used to describe the constituent records.

Abstract: Methods and apparatus for coordinating patient care among members of a patient care team including a care provider and a patient are described. One embodiment includes receiving, from a first user, via a user interface, a selection of a care transition specified in a health act grammar and binding the first user to a source actor node associated with the selected care transition in the health act grammar. The method further includes identifying, using at least one processor, at least one target actor with the selected care transition based, at least in part, on a target actor role specified in the health act grammar, and notifying the at least one target actor of a patient care responsibility associated with the selected care transition.

Abstract: The invention relates to methods and kits for characterizing and diagnosing autism spectrum disorder in an individual based on gene expression levels.

Abstract: A scalable infrastructure for searching multiple disparate textual databases by mapping their contents onto a structured ontology, e.g., of medical concepts. This framework can be leveraged against any database where free-text attributes are used to describe the constituent records.

Abstract: Described are a system and method for maintaining confidential records of an individual over a publicly accessible network. The system and method provide adequate confidentiality of the confidential records, mobility of individual access to the records, security of the data in the records, individual control of the confidential records, and integration with institutional information systems. The individual selects a publicly accessible record server for storing a confidential record. The confidential record is encrypted and stored by the gateway system on the selected record server. A predetermined agent is given an access token for accessing the confidential record over the network through the gateway server system. In a medical context, for example, the predetermined agent can be a health care institution, a medical research facility, or the individual who is a patient. The individual determines the privileges for the predetermined agent for accessing the confidential records.