Abstract: A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Each symptom is identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Because direct measurement of symptoms using the sensors available to the user may not be feasible or sufficiently accurate, the triage system also uses surrogates the identify certain symptoms. For example, a fever may be identified using heart data, a cough or shortness of breath may be identified by analyzing recorded sound, fatigue may be identified by analyzing the movement of the user device, and loss of smell or taste may be identified by recording sound and using speech detection algorithms to identify phrases in the recorded sound indicative of loss of smell or taste.

Abstract: The present disclosure provides methods of correcting gene variants associated with Parkinson's Disease in pluripotent stem cells, and methods of lineage specific differentiation of such corrected pluripotent stem cells into floor plate midbrain progenitor cells, determined dopamine (DA) neuron progenitor cells, and/or DA neurons, or into glial cells, such as microglial cells, astrocytes, oligodendrocytes, or ependymocytes. Also provided are compositions uses thereof, such as for treating neurodegenerative diseases and conditions, including Parkinson's disease.

Abstract: A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Some symptoms are identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Those comparisons are weighted to form a composite metric, which is compared to a composite threshold to determine if the user is likely to have contracted the disease. Because different individuals are at higher risk of contracting certain diseases, the determined based on specific characteristics of the user (e.g., potential comorbidities, age, gender, ethnic, racial, cultural, or economic status, geographic location, level of interaction with other individuals, etc.) that that have been identified in medical literature as increasing the individual's risk.

Abstract: A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Each symptom is identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Because direct measurement of symptoms using the sensors available to the user may not be feasible or sufficiently accurate, the triage system also uses surrogates the identify certain symptoms. For example, a fever may be identified using heart data, a cough or shortness of breath may be identified by analyzing recorded sound, fatigue may be identified by analyzing the movement of the user device, and loss of smell or taste may be identified by recording sound and using speech detection algorithms to identify phrases in the recorded sound indicative of loss of smell or taste.

Abstract: A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Some symptoms are identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Those comparisons are weighted to form a composite metric, which is compared to a composite threshold to determine if the user is likely to have contracted the disease. Because different individuals are at higher risk of contracting certain diseases, the determined based on specific characteristics of the user (e.g., potential comorbidities, age, gender, ethnic, racial, cultural, or economic status, geographic location, level of interaction with other individuals, etc.) that that have been identified in medical literature as increasing the individual's risk.

Abstract: A triage system that determines whether a user is likely to have contracted a disease based on sensor data received from a user device (e.g., a smartphone or activity tracker). Each symptom is identified by comparing sensor data to a predetermined baseline and comparing the difference to a predetermined symptom threshold. Because direct measurement of symptoms using the sensors available to the user may not be feasible or sufficiently accurate, the triage system also uses surrogates the identify certain symptoms. For example, a fever may be identified using heart data, a cough or shortness of breath may be identified by analyzing recorded sound, fatigue may be identified by analyzing the movement of the user device, and loss of smell or taste may be identified by recording sound and using speech detection algorithms to identify phrases in the recorded sound indicative of loss of smell or taste.

Abstract: Disclosed herein are systems and methods for the automatic re-analysis of genetic testing data. A centralized computing system can analyze genetic testing data and automatically re-analyze the genetic testing data when the centralized computing system is updated. In some embodiments, the centralized computing system can be updated with new or updated software, genetic analysis tools, and/or genetic analysis methods. The genetic testing data can then be re-analyzed using the new or updated software, tools, or methods. The genetic testing data can also be re-analyzed if/when available databases or knowledgebases are updated, such as when a new study or report is published. Based on the re-analysis, a suggested diagnoses and/or treatment plans can be revised.

Abstract: A system for assisting a subject to select a proper form of treatment. The system comprises: a monitoring section that remotely monitors a health status of the subject; an inference section that infers medical information about the subject based on information subject posted on social networks; a subject database that stores subject's information; and a symptom engine that stores symptoms of medical situations. The inference section applies the health status and the medical information against symptoms stored in the symptom engine to determine a proper form of treatment.

Abstract: A system for assisting a subject to select a proper form of treatment. The system comprises: a monitoring section that remotely monitors a health status of the subject; an inference section that infers medical information about the subject based on information subject posted on social networks; a subject database that stores subject's information; and a symptom engine that stores symptoms of medical situations. The inference section applies the health status and the medical information against symptoms stored in the symptom engine to determine a proper form of treatment.

Abstract: Disclosed herein are methods and systems for discovering and analyzing drug related side effects, which are also referred to herein as “off-target responses”. Side effects can be positive/beneficial side effects or negative/undesirable side effects. Further, the positive side effects can be utilize to repurpose a drug while undesirable side effects can be eliminated to make the drug(s) safer. Disclosed methods can utilize any one or more of a variety of data sources and data collection techniques to acquire data that can be utilized to identify side effects related to a particular drug and to determine that causal links between the drug, the patients, and the side effects.

Abstract: Disclosed herein are systems and methods that utilized a network of dispersed computing systems, specialized software, and other networking technology for providing remote communications for facilitating genetics counseling services between people or devices located at remote locations. The disclosed technology can utilize a centralized computing system including a central server system and one or more data warehouses. The centralized computing system can interact with various remote client computing devices to enable remote communications between patients and healthcare professionals. The communications can be secured, encrypted, recorded, transcribed, and/or stored in an editable, parsable, searchable, and shareable format. The systems and methods can also facilitate automated scheduling, automated billing, requesting of genetic testing, storing of genetic testing data, analysis of genetic testing data, suggested treatments, provision of educational literature, actual treatment, and/or other features.

Abstract: A system for assisting a subject to select a proper form of treatment. The system comprises: a monitoring section that remotely monitors a health status of the subject; an inference section that infers medical information about the subject based on information subject posted on social networks; a subject database that stores subject's information; and a symptom engine that stores symptoms of medical situations. The inference section applies the health status and the medical information against symptoms stored in the symptom engine to determine a proper form of treatment.

Abstract: A system for assisting a subject to select a proper form of treatment. The system comprises: a monitoring section that remotely monitors a health status of the subject; an inference section that infers medical information about the subject based on information subject posted on social networks; a subject database that stores subject's information; and a symptom engine that stores symptoms of medical situations. The inference section applies the health status and the medical information against symptoms stored in the symptom engine to determine a proper form of treatment.

Abstract: Leucine-rich repeat kinase-2 (LRRK2) mutations are a common cause of Parkinson's disease. Inhibitors of LRRK2 kinase that are protective in in vitro and in vivo models of LRRK2-induced neurodegeneration were identified. The presently disclosed subject matter establishes that LRRK2-induced degeneration of neurons in vivo is kinase dependent and that LRRK2 kinase inhibition provides a potential new neuroprotective paradigm for treating Parkinson's disease.

Abstract: A system for assisting a subject to select a proper form of treatment. The system comprises: a monitoring section that remotely monitors a health status of the subject; an inference section that infers medical information about the subject based on information subject posted on social networks; a subject database that stores subject's information; and a symptom engine that stores symptoms of medical situations. The inference section applies the health status and the medical information against symptoms stored in the symptom engine to determine a proper form of treatment.

Abstract: A method and system for tracking patient's response during a clinical trial of a drug, includes publishing an informational item about the clinical trial at a social media platform or a file sharing website; inducing patients to post trial related response at the social media platform or to obtain the informational item from the file sharing website; aggregating patients' responses from the social media platform, download information of the informational item published on the file sharing website, or search queries from search engines; and analyzing aggregated patients' responses, download information, or search queries to obtain knowledge related to the clinical trial.

Abstract: Methods for diagnosing Alzheimer's Disease by detection of fragments of nectin-1 are described. Nectin-1 is shown to be a substrate for proteases associated with the onset of Alzheimer's Disease, including ?-secretase, ?-secretase and BACE1 or a BACE1-like protease. The fragments produced by the action of these and other proteases on Nectin-1 can be used to diagnosis Alzheimer's Disease or a predilection towards Alzheimer's Disease.

Abstract: The invention includes therapeutic compositions and methods useful in the treatment of neurodegenerative diseases, such as those characterized by accumulation of extracellular plaques. Such neurodegenerative diseases include Alzheimer's disease. The compositions of the invention include HSVA?/TtxFC, which can be used to deliver effective therapeutic benefits to a patient without inducing inflammation.

Abstract: The invention includes methods for delivering therapeutic agents to a patient through administration of herpesvirus amplicon particles generated by a cell that stably express herpes simplex virus (HSV) immediate early 3 (IE3) gene.

Abstract: The invention features new helper virus-free methods for making herpesvirus amplicon particles that can be used in immunotherapies, including those for treating any number of infectious diseases and cancers (including chronic lymphocytic leukemia, other cancers in which blood cells become malignant, lymphomas (e.g. Hodgkin's lymphoma or non-Hodgkin's type lymphomas). Described herein are methods of making helper virus-free HSV amplicon particles; cells that contain those particles (e.g., packaging cell lines or patients' cells, infected in vivo or ex vivo); particles produced according to those methods; and methods of treating a patient with an hf-HSV particle made according to those methods.