2nd Edition of International Cancer & Immuno-Oncology Conference
March 19-21, 2026 | Singapore
Liquid Tumor Models and In Silico Simulations
Liquid tumor models, which use blood or other bodily fluids to study cancer, offer a less invasive alternative to traditional tissue biopsies. These models enable real-time monitoring of cancer progression and the detection of genetic and molecular changes in circulating tumor cells (CTCs) or tumor-derived extracellular vesicles. In silico simulations, computer-based models that replicate the biological processes of cancer, also play a vital role in predicting the behavior of tumors and assessing the effects of potential therapies. Combining liquid tumor models with in silico simulations enhances the precision of cancer research, providing a more dynamic and comprehensive understanding of tumor biology. These innovations promise to improve early diagnosis, monitor treatment responses, and facilitate the development of personalized cancer therapies.
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
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