Speaker Profile

MD, PhD, CEO, Genomate Health

Biography
Dr. Petak is a biomedical scientist with 25+ years of experience in precision oncology. He is an adjunct professor of molecular pharmacology at the University of Illinois at Chicago (UIC), author of over 150 scientific publications focusing on precision medicine, and founder of the medical technology companies Oncompass Medicine and Genomate Health. He pioneered molecular pharmacology of programmed cell death in 1998, predictive molecular diagnostics of lung cancer in 2003 and next generation sequencing in molecular profiling of solid tumors in 2008. He led the development of a novel computational method that successfully implemented cognitive computing in precision oncology in 2021.


Talk
Computational Method to Improve Treatment Decisions in Precision Oncology
Genomate's computational reasoning AI model automatically matches treatment options to the combinations of the co-occurring, on average, 4-5 genetic driver alterations and biomarkers present in each tumor instead of linking therapies to individual biomarkers one by one.


AI and Data Sciences Showcase:
Genomate Health

Genomate Health Inc. is a digital health company (based in Cambridge, MA) that develops AI-powered computational tools for personalized medicine. Its main focus is assisting physicians in making optimal personalized treatment decisions for each patient based on the complex molecular characteristics of human diseases.

 Session Abstract – PMWC 2024 Silicon Valley

Showcase Track S1 - January 24 9.00 A.M.-4.45 P.M.,Showcase Track S1 - January 25 9.45 A.M.-4.00 P.M.,Showcase Track S1 - January 26 11.00 A.M.-3.45 P.M.


The PMWC 2024 AI Company Showcase will provide a 15-minute time slot for selected AI companies to present their latest technologies to an audience of leading investors, potential clients, and partners. We will hear from companies building technologies that expedite the pre-clinical and clinical drug discovery and development process, accelerate patient diagnosis and treatment, or develop scalable systems framework to make AI and deep/machine learning a reality.

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