2nd Edition of International Cancer & Immuno-Oncology Conference
March 19-21, 2026 | Singapore
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
Artificial Intelligence (AI) is revolutionizing cancer research and care by enabling more accurate diagnoses, personalized treatments, and enhanced patient outcomes. Machine learning algorithms are being used to analyze vast amounts of medical data, such as imaging scans and genetic profiles, to detect early signs of cancer that might be missed by human clinicians. AI also aids in identifying potential biomarkers and predicting how cancers will respond to various therapies, allowing for the development of tailored treatment plans. Moreover, AI-driven systems can automate administrative processes, boosting efficiency and reducing the workload in oncology clinics. As AI continues to evolve, its ability to uncover new insights in cancer biology and treatment holds immense potential, making it an essential tool in the fight against cancer.
Rajvir Dahiya
University of California San Francisco, United States
Atif A Ahmed
University of Washington-Seattle Children’s Hospital, United States
Thomas J Webster
Northeastern University, United States
Paulo Cesar De Morais
Catholic University of Brasilia, Brazil
Allen Chen
Olympic Medical Center, United States
Shilpa S Dhar
UT MD Anderson Cancer Center, United States
Ritu Khanna
University of Manchester, United KingdomSubmit your abstract Today
Title : A novel blood-based mRNA genomics technology for cancer diagnosis and treatment
Rajvir Dahiya, University of California San Francisco, United States
Title : Nanomedicine in humans: 30 years of fighting diseases
Thomas J Webster, Northeastern University, United States
Title : Diagnosis and treatment of primary cardiac lymphoma in an immunocompetent 27-year-old man
Moataz Taha Mahmoud Abdelsalam, Madinah Cardiac Center, Saudi Arabia
Title : tRNA-derived fragment 3′tRF-AlaAGC modulates cell chemoresistance and M2 macrophage polarization via binding to TRADD in breast cancer
Feng Yan, The Affiliated Cancer Hospital of Nanjing Medical University, China
Title : Multiplexed biosensor detection of cancer biomarkers
Michael Thompson, University of Toronto, Canada
Title : Personalized and Precision Medicine (PPM) through the view of biodesign-inspired translational research: An option for clinical oncologists, caregivers, and consumers to realize the potential of genomics-informed care to secure human biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences, Russian Federation