Theranos, Inc.

Labrador Diagnostics LLC

Entelos, Inc.

Seth Gary Michelson

Elizabeth A Holmes

Ian Gibbons

Daniel L Young

Timothy Michael Kemp

Alex L Bangs

The present invention provides an integrated health care surveillance and monitoring system that provides real-time sampling, modeling, analysis, and recommended interventions. The system can be used to monitor infectious and chronic diseases. When faced with outbreak of an infectious disease agent, e.g., influenza virus, the system can identify active cases through pro-active sampling in high risk locations, such as schools or crowded commercial areas. The system can notify appropriate entities, e.g., local, regional and national governments, when an event is detected, thereby allowing for proactive management of a possible outbreak. The system also predicts the best response for deployment of scarce resources.

Integrated health data capture and analysis system

Described herein are methods and systems useful for characterizing clinical outcomes of a subject. Provided herein includes computer-assessed methods, medical information systems, and computer-readable instructions that can aid an end-user in diagnosis, prognosis, and treatment of a clinical outcome.

Methods and systems for assessing clinical outcomes

Methods and apparatus to identify a potential toxicity of a therapy in a biological system are described. In one embodiment, a method uses a computer model that represents a set of biological processes of the biological system. The method includes executing the computer model to identify a first set of biological processes contributing to the occurrence of a toxic state of the biological system. The method also includes identifying a set of biological assays based on the first set of biological processes and testing the therapy in the set of biological assays to identify a second set of biological processes modified by the therapy. The method further includes identifying the potential toxicity of the therapy based on the second set of biological processes.

Predictive toxicology for biological systems

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San Jose, CA, United States of America

Seth Gary Michelson