11–13 September 2026 | Workshop
Participants will receive the online joining details and access instructions by email.
The final participant list for Computational Modelling Meets Translational Oncology 2026 has been uploaded. All registered participants are requested to visit the Participants page to check their names and details.
The Abstract Book for the workshop is now available. Participants may view or download it using the link below.
Modern oncology generates complex, high-dimensional datasets that require integrative approaches beyond any single discipline. This Indo–German workshop brings together computational scientists, physicists, data scientists, and translational oncology researchers to bridge quantitative modelling with experimental and clinical cancer research. Through plenary talks, collaborative sessions, hands-on tutorials, and early-career networking, the workshop aims to foster new interdisciplinary frameworks and sustained collaborations toward clinically actionable advances in precision oncology.
Physics-based and computational models of tumor growth, heterogeneity, and evolution
Modelling immune interactions, metabolism, and the tumor microenvironment
Integrating single-cell and liquid biopsy data with computational frameworks
Predictive modelling of therapy response, resistance, and disease progression
Machine learning and AI approaches for translational oncology and cancer detection
Joint Plenary Talks
Early-Career Networking
Online Poster Session
Funding & Partnership Sessions
Researchers working in mathematical, statistical, agent-based, and physics-based modelling of biological systems
Basic, experimental, and clinical researchers working on biomarkers, tumor biology, and precision oncology
Researchers applying AI, machine learning, and data-driven approaches to cancer research and drug discovery
Doctoral students and postdoctoral researchers seeking interdisciplinary training and Indo–German collaboration opportunities
Workshop Dates
Registration
Abstract / Poster Submission