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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 Conference on Clinical & Translational Oncology 2026 - Jianhua Luo

Jianhua Luo

University of Pittsburgh School of Medicine, United States
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 - Sergey Suchkov

Sergey Suchkov

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

Manmohan Agrawal

Pushpadi Cancer Care Centre, India
Speaker at International Conference on Clinical & Translational Oncology 2026 - Sabura Banu Urundai Meeran

Sabura Banu Urundai Meeran

Saveetha Engineering College, India
Speaker at International Conference on Clinical & Translational Oncology 2026 - Poulami Khan

Poulami Khan

Asutosh College, India
Speaker at International Conference on Clinical & Translational Oncology 2026 - Thomas J Webster

Thomas J Webster

Brown University, United States
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