TUMOR Project
Transatlantic TUmour MOdel Repositories
A European research initiative focused on interoperable cancer model repositories, semantic biomedical modelling, in silico oncology, and predictive oncology research.
Digital Cancer Model Infrastructure
Connecting tumour models, repositories, and biomedical knowledge to support computational cancer research.
About the TUMOR Project
The TUMOR project, short for Transatlantic TUmour MOdel Repositories, was created to support the integration of cancer model repositories across European and transatlantic research infrastructures.
Its goal was to help researchers discover, share, compare, and reuse digital tumour models for predictive oncology, computational simulation, and cancer research.
Project Objectives
TUMOR focused on building bridges between cancer modelling, semantic technologies, clinical research, and model repository systems.
Interoperable Repositories
Enable cancer model repositories to communicate, exchange data, and support international research collaboration.
Predictive Oncology
Support computational approaches that can help model tumour behaviour and treatment-response scenarios.
Semantic Model Access
Use semantic layers to improve the discovery, description, classification, and reuse of biomedical cancer models.
Key Research Areas
Project Facts
International Consortium
TUMOR brought together research institutions and scientific partners from Europe and the United States to support transatlantic collaboration in computational cancer modelling.
Publications & Results
The project contributed to scientific work around cancer model repositories, TumorML, model interoperability, and predictive oncology infrastructure.
Repository Architecture
Research on technical architectures for integrating distributed cancer model repositories.
TumorML
Work related to structured representation and exchange of tumour model information.
Predictive Oncology Models
Contributions supporting model-based cancer research and simulation workflows.
Preserving the TUMOR Project Archive
This website preserves the identity, objectives, research focus, and scientific contribution of the TUMOR project. Although the project has ended, its work remains relevant to the history of digital cancer modelling and predictive oncology research.
Contact / Archive Information