2nd Edition of International Cancer Research 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
Anyou Wang
DIFIBER LLC, United States
Michael Thompson
University of Toronto, Canada
Can Küçük
Dokuz Eylul University, Turkey
Nadia Leney Olazo Marquez
Benemérita Universidad Autónoma de Puebla, Mexico
Liu Ying
Shanghai University, China
Ratan Kumar Sarkar
Independent Researcher, IndiaSubmit 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 : Uncovering tumor-suppressive roles of histone modifiers in gastric cancer through spatial transcriptomics and epigenomics
Shilpa S Dhar, UT MD Anderson Cancer Center, United States
Title : Unveiling the synergism of radiofrequency therapy and graphene nanocomposite in tumor cell viability assay
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : A case-based approach using IMPeTUs criteria in FDG PET/CT reporting of multiple myeloma
Mudalsha Ravina, All India Institute of Medical Sciences, India
Title : Transforming cancer care: Innovations, integrations, and impact
Shayan Maqsood, Jamia Hamdard University, India
Title : Updates on controversies surrounding the staging and management of newly diagnosed localized prostate cancer using prostate-specific membrane antigen (PSMA) positron emission tomography
Patricia Tai, University of Saskatchewan, Canada