Cancer Global Summit-CGS 2026

Cancer modeling is a valuable tool in oncology research, yielding insights into tumor biology, progression, and response to therapy. The "Cancer Modeling" session is concerned with the establishment and use of experimental and computational models to investigate cancer mechanisms and direct treatment approaches.".

Experimental models such as cell lines, organoids, and patient-derived xenografts enable scientists to mimic the tumor microenvironment and experiment with therapeutic interventions under controlled conditions. Such models facilitate the revelation of mechanisms of drug resistance, metastasis, and tumor heterogeneity and serve as a basis for preclinical research.

Computational modeling of cancer uses bioinformatics, systems biology, and artificial intelligence-based simulation to forecast tumor development, treatment outcome, and disease progression. Computational models facilitate personalized therapy planning, therapeutic target identification, and clinical trial design by integrating genomic, proteomic, and clinical data.

The session also discusses the up-and-coming strategies of multi-omics integration, 3D tumor cultures, and in silico clinical trials that help to increase the precision and relevance of cancer modeling.

Participants will learn about both experimental and computational modeling methods, their use in drug discovery and precision oncology, and how these models drive translational research. This session highlights the necessity of cancer modeling in understanding tumor behavior, enhancing therapeutic success, and informing novel cancer treatment approaches.