Speaker Profile

PhD, Senior Director, Scientific Engagement & Key Accounts, Certis Oncology

Biography
Michael Boice has over 20 years of experience in translational oncology drug development, from bench science to business development. As Senior Director, Scientific Engagement and Key Accounts at Certis Oncology Solutions, Michael works directly with biopharmaceutical clients to enhance their preclinical programs through a collaborative approach to scientific problem-solving and optimized study designs. Michael's areas of expertise include the development of novel oncology therapeutics, functional genomics, and rare cancers. He holds a PhD in Pharmacology from Weill Cornell Graduate School of Medical Sciences, Department of Pharmacology Memorial Sloan Kettering Cancer Center, Cancer Biology and Genetics.


Talk
Certisai Predictive Oncology Intelligence in Precision Oncology
AI is reshaping the drug discovery landscape and bringing new insights to cancer research. Explore how in silico efficacy predictions, when validated in advanced models, can bring greater certainty to early decisionmaking, and improve clinical translation. Learn how AI can bring precision to biomarker discovery, model selection and patient stratification.


AI and Data Sciences Showcase:
Certis Oncology

Certis Oncology Solutions is a life science technology company committed to realizing the promise of precision oncology. Our product is Oncology Intelligence™ — highly predictive therapeutic response data derived from AI-enabled insights and validated in advanced biological models of cancer.

 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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