PREDICTING SUSCEPTIBILITY OF LIVING ORGANISMS TO MEDICAL CONDITIONS USING MACHINE LEARNING MODELS

Number of patents in Portfolio can not be more than 2000

United States of America

APP PUB NO 20250114044A1
SERIAL NO

18778484

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Abstract

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Embodiments of the present disclosure generally relate to methods for analyzing outcomes of illnesses, such as COVID-19, on living organisms. More particularly, embodiments of the present disclosure relate to methods for identifying risk of illness based on genetic markers and other available data, predicting results of mass exposure to an Illness based on a populations genomes and other available data, and providing indicators and methods of visualization for probability of illness in any living organism.

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Patent Owner(s)

Patent OwnerAddress
GENERAL GENOMICS INC24 SMITH ROAD SUITE 504 MIDLAND TX 79705

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
BRUE, Daniel Alan Edmond, US 6 3
GIECK, Warren Dennis Calgary, CA 6 2
ROSENTHAL, Aronjol David Midland, US 6 2

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