Palantir Technologies Inc.

University of Pennsylvania

University of Washington

Drausin Wulsin

Di Wu

Parvathy Menon

John Kenneth Garrod

Ankit Shankar

Daniel Erenrich

Allen Cai

Geoff Stowe

Eli Bingham

Jacob Scott

Feridun Arda Kara

Anirvan Mukherjee

Brian Ngo

Zachary Bush

Andrew Ash

Greg Martin

Diane Wu

Engin Ural

Sean Kelley

William Dwyer

Winnie Chai

Ted Mabrey

Gilad Gray

Samir Talwar

Holt Wilkins

Greg Cohan

Chris Dorsey

Spencer Stamats

Dennis Kwon

Chris Lewis

Asli Ozyar

Mike Reilly

Matt Sills

Joyce Yu-Hsin Chen

Bar Kaya

Brian Litt

Patricio Jones Velez

Emily Fox

Steven N Baldassano

Yu-Hsin Joyce Chen

Baris Kaya

P J Valez

Pj Valez

Provided is an implantable medical device for predicting and treating electrical disturbances in tissue. The medical device includes an implantable telemetry unit (ITU), and an implantable leads assembly including a first and a second electrode implanted in the tissue. A processor of the ITU is configured to perform training by receiving electrical signals input to the electrode circuit, parsing the electrical signals into dynamic event states using Bayesian Non-Parametric Markov Switching, and modeling each event state as a multi-dimensional probability distribution. The processor of the ITU is further configured to perform analysis of the electrical signals and therapy to the tissue by applying other electrical signals to the multi-dimensional distribution to predict future electrical disturbances in the tissue, and controlling the electrode circuit to apply an electrical therapy signal to the first and second electrodes to mitigate effects of the future electrical disturbances in the tissue.

Real-time seizure prediction informed by hidden markov model event states

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

Methods and systems for analyzing entity performance

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes accessing a data structure comprising a plurality of interactions associated with multiple entities. The method also includes evaluating one or more interactions of the plurality of interactions associated with a consuming entity of the multiple entities. The method further includes determining whether the one or more interactions associated with the consuming entity comprise an identified location information of the consuming entity.

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New York, NY, United States of America

Drausin Wulsin