PM.20.007 – A modular technology-driven platform to make progress in rare cancer diagnostics and outcomes
Our overall aim is to create a nationwide data platform to enable frontier science and technology development in the field of personalized rare cancer diagnostics, treatment and outcomes with high reproducible output. The infrastructure will become a technology-driven knowledge hub for comprehensive, interdisciplinary and standardized data integration, linkage and exchange via the Personal Health Train, with high-quality FAIR data stewardship and analytics.
Artificial Intelligence, Clinical and patient-reported outcomes and personalized treatment, imaging, pathology and molecular diagnostics, Rare cancers, Symptom signatures
Erasmus Medical Center (EMC), Leiden Universitair Medisch Centrum (LUMC), Leiden University (LEI), Maastricht University (UM), Maastro Clinic, Netherlands Comprehensive Cancer Centre, NIVEL, Technische Universiteit Delft (TUD), VU Medisch Centrum Amsterdam (VUMC)
|Organisation||Netherlands Cancer Institute (NKI)|
|Name||Prof. dr. W. (Winette) van der Graaf|