Aic Innovations Group, Inc.

Ryan Scott Bardsley

Daniel Glasner

Isaac Galatzer-Levy

Muhammad Anzar Abbas

Adam Hanina

Lei Guan

Li Zhang

Xiaoguang Lu

Dehua Lai

Edward Ikeguchi

Vidya Koesmahargyo

Michelle Marlborough

A method includes: obtaining, by a computer, subject response data including audio data, video data, or audio-video data of a subject's response to one or more stimuli presented to the subject over a defined time period; extracting at least one subject descriptor from the subject response data as a function of time, the at least one subject descriptor including data characterizing involuntary or voluntary action of the subject in response to the one or more stimuli; deriving, from the at least one subject descriptor, a first biomarker characterizing a behavior of the subject in response to the one or more stimuli, in which a value of the first biomarker is indicative of a severity of a disease in the subject; and outputting a disease severity level for the disease as a function of the value of the first biomarker.

Biomarker identification

A method includes providing one or more instructions to perform a first action associated with administration of a medication; obtaining first data representing a capture of a patient performing the first action based on the one or more instructions; extracting information about movements of the patient from the first data; presenting an image configured to induce an emotional response in the patient; obtaining second data representing capture of the patient performing one or more microexpressions within 250 milliseconds of presentation of the image; obtaining additional data including one or more of demographic information of the patient, information of a disease associated with the patient, or one or more characteristics of the medication; and based on the extracted information about the movements, the one or more microexpressions, and the additional data, determining a medical outcome including a progression of the disease in the patient.

Apparatus and method for user evaluation

A computer-implemented method includes obtaining a video of a subject, the video including a plurality of frames; generating, based on the plurality of frames, a plurality of optical flows; and encoding the plurality of optical flows using an autoencoder to obtain a movement-based biomarker value of the subject.

Biomarker determination using optical flows

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Manchester, NH, United States of America

Ryan Scott Bardsley