An automated tracking and analysis system is described. In some instances, the system may collect data describing an attribute of a participant, predict interventions related to the attribute of the participant, and generate personalized tracks relating to the interventions, each of which may include an action. In some instances, the system may assess a performance metric indicating a level of performance of the participant in the personalized tracks, compute a participant score for the personalized tracks using the performance metric; and issue a reward to the participant based on one or more of the participant score and the performance metric.

An on-person portable device and/or app that allows for constant location monitoring of dementia patients is disclosed. Such a device and/or app also includes automated communication of facial recognition of persons proximally near such a patient as well as possible generation of certain music in response to patient status and/or location. The patient is provided the device and/or app for handling or wearing, such as a phone or pair of glasses, in order to follow location through GPS monitoring, and a reactive program therein that automatically views another person and provides an identification thereof coupled with a voice modulator within an earpiece or like device for memory stimulation pertaining to loved ones or friends, and the like. The same program may also provide the music response to comments, movement, or any other external stimuli to the subject patient, again, to evoke a memory stimulus, as well.

A method for controlling stress includes (a) providing an individual with (i) stimulator devices, each having a wireless receiver, a selectively controllable tactile stimulator, a processor that processes digitally encoded instructions in received wireless signals and controls the operation of the tactile stimulator in response thereto and (ii) a programmable mobile device controller containing a memory component configured to hold application instructions for receiving input from the individual including the intensity and speed of stimulation through a graphical user interface, processor(s) for executing the application instructions, and a wireless relay for transmitting the digitally encoded instructions to the stimulator devices, (b) having the individual place the stimulator devices bilaterally on and in direct or indirect contact with the individual's body, (c) having the individual set the speed and intensity of the stimulation, and (d) causing the controller to store the individual's speed and intensity selections in the memory component.

A method for controlling stress includes (a) providing an individual with (i) stimulator devices, each having a wireless receiver, a selectively controllable tactile stimulator, a processor that processes digitally encoded instructions in received wireless signals and controls the operation of the tactile stimulator in response thereto and (ii) a programmable mobile device controller containing a memory component configured to hold application instructions for receiving input from the individual including the intensity and speed of stimulation through a graphical user interface, processor(s) for executing the application instructions, and a wireless relay for transmitting the digitally encoded instructions to the stimulator devices, (b) having the individual place the stimulator devices bilaterally on and in direct or indirect contact with the individual's body, (c) having the individual set the speed and intensity of the stimulation, and (d) causing the controller to store the individual's speed and intensity selections in the memory component.

An electronic device that includes an electronic calendar containing scheduled events, the device further including a) software that matches an event with an optimal brain state, and b) means for convening to the user of the device such optimal brain state when the calendar indicates that the event is imminent or has arrived.

A technique for dynamic generation of a therapeutic derivative story includes obtaining attribute data that describes characteristics of a content consumer along with situational details describing an emotional situation involving the content consumer. A relatability score for the therapeutic derivative story is determined. A content data structure (CDS) is selected. The CDS specifies story elements of a preexisting story. The story elements are associated with metadata constraints that constrain modification or use of the story elements. The metadata constraints indicate whether associated ones of the story elements are mutable story elements. One or more of the mutable story elements are adapted based on the attribute data or the situational details as constrained by the metadata constraints and to an extent determined at least in part by the relatability score to generate the therapeutic derivative story.

A technique for dynamic generation of a therapeutic derivative story includes obtaining attribute data that describes characteristics of a content consumer along with situational details describing an emotional situation involving the content consumer. A relatability score for the therapeutic derivative story is determined. A content data structure (CDS) is selected. The CDS specifies story elements of a preexisting story. The story elements are associated with metadata constraints that constrain modification or use of the story elements. The metadata constraints indicate whether associated ones of the story elements are mutable story elements. One or more of the mutable story elements are adapted based on the attribute data or the situational details as constrained by the metadata constraints and to an extent determined at least in part by the relatability score to generate the therapeutic derivative story.

A patient health management platform accesses a metabolic profile for a patient and biosignals recorded for the patient during a current time period comprising sensor data and/or lab test data collected for the patient. The platform receives patient data recorded during the current time period comprising food items consumed, medications taken, and symptoms experienced by the patient. The platform implements a machine-learned metabolic model to determine a metabolic state of the patient at a conclusion of the current time period by comparing a true representation of the metabolic state and a prediction of the metabolic state. The true representation and the prediction are determined based on the recorded biosignals and the recorded patient data, respectively. The platform generates a patient-specific treatment recommendation outlining instructions for the patient to improve their metabolic state and provides the patient-specific treatment recommendation to the patient device for display to the patient.

A system for mental health clinical application includes a virtual reality (VR) headset, a physiological sensor device and a computer device. The computer device is used to perform an illness test on a user by establishing a virtual 3D environment via the VR headset according to test data provided by the computer device. The computer device receives, from the physiological sensor device, a physiological signal of the user in response to the illness test to analyze an illness condition of the user.

The present disclosure relates to methods and systems suitable for use in identifying and providing personalised medicine to a patient. In some aspects, systems and method generate a co-therapy regimen for a patient suffering from a disease or condition. An identification of a co-therapy suitable to treat the disease or condition is received. A desired patient endpoint and a patient position are received, wherein the patient position is defined relative to the desired patient endpoint. A dataset relating to the patient is stored. The dataset comprises one or more patient data based on patient-related measurements. The dataset, the patient position and the desired patient endpoint are processed to generate a regimen for the co-therapy. The regimen is stored in a database.