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
Paulo Cesar De Morais
Catholic University of Brasilia, Brazil
Shilpa S Dhar
UT MD Anderson Cancer Center, United States
Eleni Petsalaki
University of Crete, Greece
Can Küçük
Dokuz Eylul University, TurkeySubmit 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 : Analysis of the dynamic evolution and influencing factors of nutritional risk in breast cancer patients during treatment
Jingwen Yan, Sun Yat-sen University, China
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 : 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 : One-step salivary gelatinase activity assay: Accelerating non-invasive oral malignancy diagnosis
Deovrat N Begde, Dr. Ambedkar College, India