2nd Edition of International Cancer Research Conference
March 19-21, 2026 | Singapore
Role of AI in Cancer
Artificial intelligence (AI) is a term used to describe a computer that performs tasks that are similar to those performed by humans. AI integration in cancer care could enhance diagnosis accuracy and speed, aid clinical decision-making, and result in better health outcomes. Machine learning and other AI technologies can significantly improve the current mode of anticancer drug research. Clinical treatment driven by AI has the potential to make a significant difference in eliminating health inequities, especially in low-resource settings. Researchers can collaborate in real-time and share knowledge virtually utilising an AI-based system method, potentially healing millions. AI also has the potential to revolutionize oncology by leveraging big data to propel cancer care into the twenty-first century and beyond.
- Cancer drug development
- AI and Cancer Imaging
- AI and Translational Oncology
- Clinical decision making and AI
- AI Limitations and Future Directions
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 : 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
Title : Advanced nanoparticles, the hallmark of targeted drug delivery for osteosarcoma
Shayan Maqsood, Jamia Hamdard University, India