The UNIBI Team and its Expertise for CancerScan
The UNIBI team participating in the CancerScan project is part of the Genome Data Science (GDS) group at Bielefeld Unive
A shared roadmap for how CancerScan will communicate and amplify its results
The CancerScan consortium has completed and submitted the Plan for Dissemination and Communication Activities, marking a
Structuring Cancer Research Knowledge Through Knowledge Graphs
Cancer is not a single disease but a complex set of disorders driven by interactions among genetics, environment, and li
Learning tumour language: Neovivum’s role in predicting cancer resistance
Current precision oncology faces a fundamental limitation. While doctors can identify biomarkers that correlate with tre
About Cell-Cell-Communication Networks, Embeddings and Transformers
Tumour cells communicate through complex signalling patterns that evolve over time. Modern machine learning models using
Meet the CSIC team contributing expertise in tumour microenvironment analysis
The Spanish National Research Council (CSIC), through the Institute of Advanced Chemistry of Catalonia (IQAC) is contrib
Tumor microenvironment (TME) sustains and shapes cancer cell activity
Since the first description of cancer hallmarks by Hanahan and Weinberg 25 years ago (Hanahan and Weinberg, 2000). A str
A Heterogeneous GPU–FPGA Computing Infrastructure for Efficient and Accurate Tumour Digital Twin Simulation
Precision medicine represents a paradigm shift in oncology, moving from population-level treatment protocols to patient-
Politecnico di Milano Joins CancerScan to Advance Precision Oncology through Digital Twins
Politecnico di Milano is part of CancerScan, the EU project shaping the future of precision oncology through tumour digi