CancerScan Digital Twin System receives EMA Breakthrough Device designation
The CancerScan Digital Twin System, a medical device being developed within the CancerScan Project, has received EMA Bre
What Is a Tumour Digital Twin?
The clinical challenge: Why standard oncology struggles with treatment prediction When an oncologist recommends chemothe
Decoding cancer cell communication to improve pancreatic cancer treatment
Cancer cells do not act alone. Through complex communication networks and signalling pathways, tumour cells and their mi
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