Proteus Digital Health, Inc.

Synthesis Ai, Inc.

Otsuka Pharmaceutical Company, Limited

Precision Livestock Technologies, Inc.

Proteus Bomedical, Inc.

Yashar Behzadi

Timothy Robertson

Mark Zdeblick

George M Savage

Hooman Hafezi

Andrew S Thompson

Lawrence W Arne

Robert Duck

Todd Thompson

Andrew Thompson

Benedict Costello

Robert C Leichner

David O'Reilly

Fataneh Omidvar

Sergey Igorevich Nikolenko

Marc S Kreidler

James Hutchison

Gregory Moon

Erika Karplus

Kenneth Rowberry

Robert Leichner

Arna Diana Ionescu

Patrick Beaulieu

Jeremy Frank

Tariq Haniff

David O'reilly

Olivier K Colliou

Marc Jensen

Danielle Schulze Cojuangco

William Bedford Turner

Kit Yee Au-Yeung

Kenneth C Crandall

Aaron Samuel Filner

Veeraperumanallu Muralidharan

Danielle Cojuangco Abraham

Alireza Akhbardeh

Ricardo Alexandre Esteves Mendonca

Clifford Lewis

Lorenzo Dicarlo

Ray Lee

Robin Suchan

Sara Burgess

A computer-implemented method is disclosed. The computer-implemented method comprises receiving, by a computer system, ingestible event marker (IEM) system information from a receiver worn by a subject, the IEM system information comprising information associated with ingestion of medication by the subject, wherein the receiver is configured to communicate with the computer system; receiving, by the computer system, contextual information associated with the subject; and calculating, by the computer system, a composite risk score based on the IEM system information and the contextual information associated with the subject.

System, apparatus and methods for data collection and assessing outcomes

A system and method are disclosed for training a system or a model to allow estimation of the value of livestock that is farmed for monetary gain. The various aspects of the invention include generation of data that is used to supplement or augment capture or real data, wherein the subject of the data is an animal. Labels or attributes are generated and validated.

System and method to analyse an animal's image for market value determination

A system and method for training a system or a model using any combination of synthetic data and real data. The various aspects of the invention include generation of data that is used to supplement or augment real data, wherein the subject of the data can be segmented. Labels or attributes are automatically added to generated data. The generated data is synthetic data that is generated using seed or real data as well as from other synthetic data. Using the synthetic data, various domain adaptation models can be used and trained.

System and method for adaptive generation using feedback from a trained model

A system and method for training a model using a training dataset. The training dataset can be made up of only real data, only synthetic data, or any combination of synthetic data and real data. The images are segmented to define objects with known labels. The object is pasted onto backgrounds to generated synthetic datasets. The various aspects of the invention include generation of data that is used to supplement or augment real data. Labels or attributes can be automatically added to the data as it is generated. The data can be generated using seed data. The data can be generated using synthetic data. The data can be generated from any source, including the user's thoughts or memory. Using the training dataset, various domain adaptation models can be trained.

System and method for generating training data for computer vision systems based on image segmentation

A system and method are disclosed for training a system or a model using any combination of synthetic data and real data. The various aspects of the invention include generation of data that is used to supplement or augment real data, wherein the subject of the data can be segmented. Labels or attributes are automatically added to generated data. The generated data is synthetic data that is created using the seed or real data as well as from other synthetic data. Using the synthetic data, various domain adaptation models can be used and trained for unsupervised domain adaptation.

System and method for domain adaptation using synthetic data

A system and method are disclosed for training a model using a training dataset. The training dataset can include only real data, only synthetic data, or any combination of synthetic data and real data. The various aspects of the invention include generation of data that is used to supplement or augment real data. Labels or attributes can be automatically added to the data as it is generated. The data can be generated using seed data. The data can be generated using synthetic data. The data can be generated from any source, including the user's thoughts or memory. Using the training dataset, various domain adaptation models can be trained.

System and method for visual recognition using synthetic training data

The ingestible event marker data framework provides a uniform, comprehensive framework to enable various functions and utilities related to ingestible event marker data (IEM data). The functions and utilities include data and/or information having an aspect of data derived from, collected by, aggregated by, or otherwise associated with, an ingestion event.

Ingestible event marker data framework

The disclosed system includes an ingestible event marker device configured to collect Ingestible Event Marker (IEM) data from a body of an individual and transmit a signal including the IEM data, wherein the IEM data include information associated with an ingestion event, a receiver adapted to be associated with the body of the individual and configured to receive the signal including the IEM data via the body of the individual, a hub to receive the IEM data from the receiver, and at least one IEM data system to receive the IEM data from the hub. The at least one IEM data system analyzes the IEM data and generates at least one metric based on the IEM data. The at least one IEM data system may further generate predictive information based on the at least one metric, wherein the predictive information is related to prediction of a state of the individual.

State characterization based on multi-variate data fusion techniques

A system and method are disclosed that track a deliverable to a user. The system includes an identifier or tag secured to the deliverable, a computer system for interrogating the identifier, and a personal device in communication with the computer system, wherein the personal device is held by the user at the time the user is administered the deliverable to detect the unique identity associated with the identifier device and confirms delivery of the deliverable to the user. The method includes attaching an identifiable tag that produces a unique signature to the deliverable, interrogating the tag at about the time of delivery to the user, and confirming that the user has been administered the deliverable through detecting the identifiable tag.

Tracking and delivery confirmation of pharmaceutical products

Ingestible event marker systems that include an ingestible event marker (i.e., an IEM) and a personal signal receiver are provided. Embodiments of the IEM include an identifier, which may or may not be present in a physiologically acceptable carrier. The identifier is characterized by being activated upon contact with a target internal physiological site of a body, such as digestive tract internal target site. The personal signal receiver is configured to be associated with a physiological location, e.g., inside of or on the body, and to receive a signal the IEM. During use, the IEM broadcasts a signal which is received by the personal signal receiver.

Ingestible event marker systems

A method comprising receiving physiologic information at a social-networking system from a body-associated personal communicator is disclosed. A social-networking system configured to receive physiological information from a body-associated personal communicator and a body-associated personal communicator configured to receive physiologic information and communicate the physiologic information to a social-networking system also are disclosed.

Social media networking based on physiologic information

Methods, devices and systems for acquiring information useful to support a patient in implementing and adhering to a medically prescribed therapy plan are provided. The therapy may incorporate biofeedback methods and/or personalized therapy aspects. A method includes steps of receiving, by a receiving device, biometric information associated with an ingestible event marker; analyzing, by a computing device having a microprocessor configured to perform a biometric information analysis, the biometric information; and determining a therapeutic recommendation at least partly on the basis of the analysis and/or integrating biofeedback techniques into patient therapy or activity. A system includes a biometric information module to receive biometric information associated with an ingestible event marker; an analysis module to analyze the biometric information; and a determination module to optionally determine and communicate a therapeutic recommendation at least partly on the basis of the analysis.

Ingestion-related biofeedback and personalized medical therapy method and system

The ingestible event marker data framework provides a uniform, comprehensive framework to enable various functions and utilities related to ingestible event marker data (IEM data). Included are a receiver adapted to be associated with a body of an individual, the receiver configured to receive IEM data; a hub to receive the IEM data; and at least one IEM data system to receive the data from the hub. Among other information, behavioral data and predictive inferences may be provided.

The system of the present invention includes an implantable device that can detect high and low frequency current signature. The implantable device can communicate with a communication device that includes a conductive element, an electronic component, and a partial power source in the form of dissimilar materials. Upon contact with a conducting fluid, the communication device is activated.

Communication system using an implantable device

A body associated device comprises a housing, an adhesive layer configured to be applied to a body of a living subject, and at least one standoff located between the housing and the adhesive layer. An electronic module may be located within the housing of the body associated device. A personal communication system comprises a body associated device including an electronic module and further comprises a feedback portion coupled to the housing and to the electronic module. The feedback portion is configured to communicate information between the living subject and the body associated device. An external local node is operative to provide at least one of transmit communications to and receive communications from the body associated device.

Wearable personal body associated device with various physical configurations

Growing community of inventors

San Francisco, CA, United States of America

Yashar Behzadi