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AI in Personalized Cancer Therapies

AI is playing an increasingly crucial role in personalized cancer therapies, where treatment plans are tailored to the individual characteristics of both the patient and their cancer. By analyzing a patient’s genetic makeup, AI can predict how the cancer will respond to various treatments, allowing for more precise and targeted therapies. This leads to improved treatment outcomes, fewer side effects, and the ability to tailor the intensity and type of treatment to match the patient's unique needs. Moreover, AI systems can continuously monitor a patient’s progress, adjusting therapies as necessary to maximize effectiveness. The ability to provide customized cancer care through AI is advancing personalized medicine and offers the hope of better, more efficient cancer treatments.

Committee Members
Speaker at International Cancer Conference 2026 - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
Speaker at International Cancer Conference 2026 - Rajvir Dahiya

Rajvir Dahiya

University of California San Francisco, United States
Speaker at International Cancer Conference 2026 - Patricia Tai

Patricia Tai

UpToDate, Canada
ICC 2026 Speakers
Speaker at International Cancer Conference 2026 - Eleni Petsalaki

Eleni Petsalaki

University of Crete, Greece
Speaker at International Cancer Conference 2026 - Yi Chih Liang

Yi Chih Liang

National Sun Yat-Sen University, Taiwan
Speaker at International Cancer Conference 2026 - Omar Mohammad Alqaisi

Omar Mohammad Alqaisi

Al-Zaytoonah University, Jordan
Speaker at International Cancer Conference 2026 - Wu Junyao

Wu Junyao

Changhai Hospital, China
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