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AI in Cancer Research and Drug Development

AI's impact on cancer research and drug development is profound, accelerating the discovery of new therapies and drugs by analyzing vast datasets from clinical trials, genomics, and biomedical research. By identifying trends and predicting outcomes from this information, AI models can guide the development of targeted therapies, reducing the time it takes for new drugs to reach clinical trials. AI algorithms can also simulate how different compounds interact with cancer cells, helping researchers to identify promising candidates for further testing. This accelerated drug discovery process is particularly beneficial for cancers with limited treatment options, as it opens up new possibilities for effective therapies and personalized treatment plans.

Committee Members
Speaker at International Conference on Clinical & Translational Oncology 2026 - Yan Leyfman

Yan Leyfman

NYP- Meyer Cancer Center, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Rajvir Dahiya

Rajvir Dahiya

University of California San Francisco, United States
Speaker at International Conference on Clinical & Translational Oncology 2026 - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
ICTO 2026 Speakers
Speaker at International Conference on Clinical & Translational Oncology 2026 - Pietro Salvatori

Pietro Salvatori

Formerly, Humanitas San Pio X Hospital, Italy
Speaker at International Conference on Clinical & Translational Oncology 2026 - Sergey Suchkov

Sergey Suchkov

N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation
Speaker at International Conference on Clinical & Translational Oncology 2026 - Shinya Tajima

Shinya Tajima

National Hospital Organization Shizuoka Medical Centre, Japan
Speaker at International Conference on Clinical & Translational Oncology 2026 - Nayara Delgado Andre

Nayara Delgado Andre

Federal University of São João del-Rei (UFSJ), Brazil
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