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Role of AI in Cancer Research and Care

  • AI in Early Detection and Diagnosis
  • AI in Personalized Cancer Therapies
  • AI in Radiation and Surgical Oncology
  • AI in Cancer Research and Drug Development
  • AI for Predictive Analytics in Cancer Care

AI is revolutionizing the landscape of cancer research and treatment by offering innovative solutions for early detection, treatment customization, and clinical efficiency. By leveraging machine learning algorithms, AI can process vast amounts of data from medical imaging, genetic sequencing, and patient histories to uncover hidden patterns that humans might miss. This aids in diagnosing cancer earlier and more accurately, paving the way for tailored therapies that align with the specific characteristics of both the individual and the cancer.

Additionally, AI accelerates drug discovery by simulating interactions between potential drugs and cancer cells, which shortens research timelines and reduces costs. On the patient care front, AI-powered devices provide continuous health monitoring, offering valuable insights that help clinicians make informed, real-time decisions. As AI continues to evolve, its potential to enhance cancer care grows, promising more effective, personalized, and accessible treatment options for patients worldwide.

Committee Members
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
Speaker at International Cancer Conference 2026 - Jose Manuel Cervera Grau

Jose Manuel Cervera Grau

Preclinical Lab and Computational Drug Discovery Program, Relayer Biotech Inc, Spain
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