AI-Assisted Tools for Monitoring Precision Medicine Predictive Biomarkers Landscape

This white paper podcast is part of DIA’s White Paper Library


    Predictive biomarkers, biological characteristics which identify individuals more likely than others to favorably respond to a therapy, are helping to improve accuracy in precision medicine. “Our database creates a detailed real time platform of reliable insights on biomarkers and biomarker activity, used primarily to stay up to date on cancer biomarkers, and to understand the extent to which they're predictive of drug response,” explains Sabrina Bellisario, Director of Operations, Larvol. “Our newest endeavor is to apply artificial intelligence and algorithmic approaches to actually predict new areas of research for particular biomarkers, drugs and tumors,” continues Larvol Director of Oncology Mark Gramling.

    Sabrina_headshot (1).png     Mark headshot (1).jpg

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Section 2: Spin Straw into Gold