CCCZ Bioinformatics Program
Data-Driven Precision Oncology
The analysis of large volumes of genetic, clinical and imaging data using artificial intelligence enables a more precise understanding of cancer.
By integrating multimodal datasets, relevant patterns and associations can be identified that contribute to understanding cancer development, progression and treatment response. This data-driven approach forms the foundation of precision oncology at the Comprehensive Cancer Center Zurich (CCCZ).
Our Priorities
- Consolidation of cancer-related data across the CCCZ
- Establishment of a digital Patient-Reported Outcome Measures (PROM) infrastructure to accompany patients during therapy
- Automated decision support in the tumor board setting
- Development of a strong community and expertise in computational cancer modelling
“We enable access to cancer data to learn from historical patient trajectories and to develop improved cancer therapies using AI algorithms.”
Michael Krauthammer, Prof. Dr. med. - CCCZ Director Bioinformatics
Strategic Data Initiatives
- Support for structured reporting in radiology, pathology and oncology
- Establishment of an integrated database combining clinical and omics data for holistic analysis
- Implementation of a robust PROM infrastructure to enrich clinical data with patient-centered outcomes
- Coordination of the Zurich AI Tumor Board project
- Enabling the bioinformatics community to efficiently process and model CCCZ data using existing high-performance computing infrastructures
At a Glance
- 3 UZH high-performance computing infrastructures via S3IT
- 4 USZ IT systems supporting oncology research and reporting (SecuTrial, REDCap, CentraXX, Onkostar)
- Multi-year CCCZ oncology cohort with continuous data completion (diagnosis, stage, treatment, outcome)
Institution
University of Zurich
Departement
Department of Quantitative Biomedicine