University of Illinois

Mayo Foundation for Medical Education and Research

Ravishankar Krishnan Iyer

Gregory A Worrell

Liewei Wang

Vaclav Kremen

Brent M Berry

Gary C Sieck

Benjamin H Brinkmann

Mark Andrew Frye

William Victor Bobo

Yogatheesan Varatharajah

Zbigniew Kalbarczyk

Richard Merle Weinshilboum

Jan Cimbalnik

Arjun Prasanna Athreya

This specification discloses systems, methods, devices, and other techniques for determining the location of a seizure-generating region of the brain of a mammal.

Seizure onset zone localization

The present disclosure provides methods for accurately predicting the dynamics of symptom response to drugs or other interventions for the treatment of major depressive disorder or other psychological conditions. These methods can allow for a shortening of the time period necessary for the evaluation of a drug or other therapeutic intervention. These predictive methods are based on measured and/or self-reported symptom severity measures at two or more points in time. These measures are then discretized into symptom classes (e.g., low, moderate, severe) and the symptom classes are then applied to the predictive model to predict the progression of symptoms and/or the effectiveness of a drug or other therapeutic intervention. The predictive methods may be augmented by metabolomics data, genomics data, or other objective measures taken from a patient, allowing the use of objective physiological measures to diagnosis and treat psychological conditions heretofore diagnosed and assessed using only subjective, self-reported measures.

Analytics and machine learning framework for actionable intelligence from clinical and omics data

Growing community of inventors

Champaign, IL, United States of America

Ravishankar Krishnan Iyer