A method for administering an exposure treatment of a cognitive behavioral therapy (CBT) uses a mobile app and a server application. A user state of a patient undergoing a first step of the CBT based on the patient's condition during the first step is detected by sensors of the patient's smartphone. A situational state of the patient's surroundings during the first step is detected by the smartphone sensors. The mobile app determines whether the patient has made progress performing the first step. A user prompt is generated based on the user state and situational state. A next step of the CBT is configured based on the user state and situational state. The characteristics of the user prompt are generated using machine learning based on past task completions by the patient and other users so as to increase the likelihood that the patient will complete the next step of the CBT.

A caregiver user interface displays information from a patient's electronic medical record. The interface associates medical records together that include a common data item. The interface also displays information about data items, such as the status of a data item in an associated historical record. Controls can be displayed in the user interface, which are linked to the historical records.

A computing system can execute a correlation model for a library of health assertions to configure a correlation value for each health assertion. The correlation value comprises a correlation between knowledge associated with the health assertion and known health outcomes of individuals in a control group who have also provided responses to the health assertions. The computing system provides a health trivia session for users and based at least in part on the performance of the user, generates a morbidity risk profile that is used to classify the user in an underwriting class.

A computing system can execute a correlation model for a library of health assertions to configure a correlation value for each health assertion. The correlation value comprises a correlation between knowledge associated with the health assertion and known health outcomes of individuals in a control group who have also provided responses to the health assertions. The computing system provides a health trivia session for users and based at least in part on the performance of the user, generates a morbidity risk profile that is used to classify the user in an underwriting class.

A method of screening participants for a clinical trial by obtaining identifying information chosen from a biometric sample, personal information, physical attributes, and combinations thereof from a prospective participant, optionally generating a unique identifier code, populating a database server with the unique identifier code and participant information and storing the information on non-transitory computer readable media, screening the participant for a clinical trial based on either the unique identifier code and/or participant information and searching for a match with existing participant information in the database server and a plurality of outside databases to determine protocol violations, and determining eligibility of the participant for the clinical trial and preventing the protocol violations. A system for screening participants for a clinical trial and preventing future violations while currently enrolled in a clinical trial.

A method of screening participants for a clinical trial by obtaining identifying information chosen from a biometric sample, personal information, physical attributes, and combinations thereof from a prospective participant, optionally generating a unique identifier code, populating a database server with the unique identifier code and participant information and storing the information on non-transitory computer readable media, screening the participant for a clinical trial based on either the unique identifier code and/or participant information and searching for a match with existing participant information in the database server and a plurality of outside databases to determine protocol violations, and determining eligibility of the participant for the clinical trial and preventing the protocol violations. A system for screening participants for a clinical trial and preventing future violations while currently enrolled in a clinical trial.

Systems and methods for cognitive training using voice command are described. One aspect includes a device to repeatedly present visual stimuli to a user that require performance of a task. A microphone may be positioned to provide audio input from the user to the device, with the audio input from the user providing input required to measure task performance. A processing system may perform real-time analysis of measured task performance.

A system and method for optimizing trial design for clinical trials. The system includes a computer system and a processor communicably coupled to a memory. The processor processes and structures raw trial data to a format suitable for input to train a machine learning model. The processor further identifies plurality of independent features of the raw trial data and screens actionable features. Further, the processor computes cut off range values for each of the actionable features and form a plurality of sub-groups of patients. The processor simulates patient response of each of the plurality of sub-groups of patients and identifies a sub-group of patients based upon population percentage and delta response that shows optimal clinical trial results in the simulated patient response.

A system and method for optimizing trial design for clinical trials. The system includes a computer system and a processor communicably coupled to a memory. The processor processes and structures raw trial data to a format suitable for input to train a machine learning model. The processor further identifies plurality of independent features of the raw trial data and screens actionable features. Further, the processor computes cut off range values for each of the actionable features and form a plurality of sub-groups of patients. The processor simulates patient response of each of the plurality of sub-groups of patients and identifies a sub-group of patients based upon population percentage and delta response that shows optimal clinical trial results in the simulated patient response.

The invention is generally related to Inflammatory Bowel Disease, Irritable Bowel Syndrome and other immune-mediated inflammatory disorders (IMIDs) such as rheumatoid arthritis, the spondyloarthritis disease spectrum, connective tissue disorders, cutaneous inflammatory conditions, asthma and autoimmune neurological diseases such as multiple sclerosis, and more particularly to compositions and methods for management and amelioration of symptoms in a subject in need thereof. One embodiment of the present invention contemplates a system and method useful for managing and ameliorating IBD symptoms resulting in the development of a personalized diet for the IBD participant which will reduce or eliminate most IBD symptoms.