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 in Early Detection and Diagnosis
AI in Early Detection and Diagnosis
Artificial Intelligence (AI) is increasingly being used to enhance the early detection and diagnosis of cancer. By analyzing medical imaging, AI algorithms can identify patterns that may be overlooked by human eyes, such as minute irregularities in scans or biopsies. Additionally, AI helps in integrating data from multiple sources like genetic information, blood tests, and patient histories to predict cancer development with greater accuracy. This early identification enables timely interventions, which significantly increase the chances of successful treatment. The potential of AI in improving diagnostic processes is vast, offering new hope in cancer care.
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