NantOmics and NantHealth Announce Results of Proprietary Machine Vision AI Software Study Demonstrating the Ability to Identify Aggressive Subtypes of Breast Cancer From Digital Pathology ...
NantHealth, Inc. (NH)
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Source: Business Wire
Study Published In Breast Cancer Research Shows How Deep-Learning Of Over 650 Breast Cancer Digital Pathology Images And Omics Data Can Be Used Together To Unlock Precise Mechanisms Of Therapy Resistance CULVER CITY, Calif.--(BUSINESS WIRE)--NantOmics, LLC, the leader in molecular analysis, and NantHealth, Inc. (NASDAQ: NH), a next-generation, evidence-based, personalized healthcare company, announced today the publication of a peer-reviewed study in Breast Cancer Research, a Springer Nature journal, on a novel AI technique in breast cancer. The study reports on a novel deep-learning system of digital pathology images and omics data used together to more precisely identify mechanisms of therapy resistance.NantOmics scientists trained a deep-neural network on diagnostic slide images from 443 breast tumors that had previously undergone PAM50 subtyping to classify patches of the tumor images into four major molecular subtypes of breast cancer (basal-like, HER2-enriched, luminal A, and
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