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3rd Edition of International Cancer & Immuno-Oncology Conference

March 15-17, 2027 | Singapore
March 15-17, 2027 | Singapore

AI in Cancer Research and Drug Development

AI in Cancer Research and Drug Development

AI is becoming a cornerstone in cancer research and drug development, streamlining the process of discovering new treatments. Machine learning models can analyze vast amounts of molecular and clinical data, helping researchers identify promising drug candidates and predict their efficacy. By simulating how different compounds interact with cancer cells, AI can expedite the identification of therapeutic targets. This accelerates the drug development pipeline, potentially bringing effective treatments to market more quickly. As AI continues to evolve, its role in uncovering innovative cancer therapies will only increase, shaping the future of cancer research.

Committee Members
Committee Member - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
Committee Member - Atif A Ahmed

Atif A Ahmed

Seattle Children’s Hospital, United States
Committee Member - Rajvir Dahiya

Rajvir Dahiya

University of California San Francisco, United States
CIOC 2027 Speakers
Thomas Jay Webster

Thomas Jay Webster

Brown University, United States
Eleni Petsalaki

Eleni Petsalaki

University of Crete, Greece
Saumya Pandey

Saumya Pandey

Indira IVF Hospital, India
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