Building the Semantic Foundation of CancerScan
Cancer research increasingly relies on combining information generated by complementary experimental technologies, from
The Language of Cells: How Communication Differs in Healthy and Tumour Tissue
What changes when normal pancreatic tissue becomes malignant? By comparing tumour and adjacent normal tissue, we examine
About Diffusion Models, Cancer Cell States and Iterative Generative Exploration
Single-cell cancer data provide detailed molecular snapshots but cannot reveal how individual cells differentiate betwee
Making tumour communication visible: tracking extracellular vesicles in 3D cancer models
Tumours are complex ecosystems in which cancer cells constantly interact with the surrounding microenvironment. These in
UNIBI Contributions to iscbAI’26 on Molecular Data & Generative AI
Johannes Schlüter from Bielefeld University (UNIBI) will present two accepted papers at iscbAI’26. Together with Alex
Connecting Research Across Continents
The Politecnico di Milano team recently took part in the 40th IEEE International Parallel & Distributed Processing S
How CancerScan’s Technology Could Be Used in the Future
CancerScan is an ambitious European research initiative developing a new generation of smart pathology technology. At it
Understanding Treatment Resistance: VHIR’s Role in CancerScan
The Clinical Challenge One of the greatest challenges in PDAC (Pancreatic Ductal Adenocarcinoma) treatment is that thera
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