HYBRID EVENT: You can participate in person at Singapore or Virtually from your home or work.
2nd Edition of International Cancer & Immuno-Oncology Conference
March 19-21, 2026 | Singapore
AI for Predictive Analytics in Cancer Care
AI for Predictive Analytics in Cancer Care
AI is revolutionizing predictive analytics in cancer care, enabling clinicians to anticipate disease progression with remarkable accuracy. By analyzing patient data over time, including genetic, demographic, and treatment history, AI algorithms can identify trends that may suggest a higher likelihood of relapse or metastasis. This predictive capability allows doctors to intervene earlier and adjust treatment plans accordingly, potentially improving patient outcomes. The ability of AI to forecast disease trajectories provides oncologists with a powerful tool to optimize care and make more informed decisions about treatment strategies.
Committee Members
Rajvir Dahiya
University of California San Francisco, United States
Atif A Ahmed
University of Washington-Seattle Children’s Hospital, United States
Anyou Wang
DIFIBER LLC, United States CIOC 2026 Speakers
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 : 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 : Integrating single-cell and spatial transcriptomics to uncover and elucidate GP73-mediated pro-angiogenic regulatory networks in hepatocellular carcinoma
Jiazhou Ye, Guangxi Medical University Cancer Hospital, 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 : 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 : Integrative multi-omics reveals metabolic–stemness coupling and novel therapeutic targets in osteosarcoma chemoresistance
Jinyan Feng, Tianjin Medical University Cancer Institute and Hospital, China