Building the Semantic Foundation of CancerScan
Cancer research increasingly relies on combining information generated by complementary experimental technologies, from molecular profiling to high-resolution tissue imaging. While
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 examined how communication between immune, stromal and other cell p
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 between healthy and tumour states. CancerZigZag uses iterative dif
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 interactions can influence tumour growth, progression and resp
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 Alexander Schönhuth, he investigates how computational methods
Connecting Research Across Continents
The Politecnico di Milano team recently took part in the 40th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2026) and the 33rd Reconfigurable Architectu
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 its core is a system designed to transform standard biopsy sli
Understanding Treatment Resistance: VHIR’s Role in CancerScan
The Clinical Challenge One of the greatest challenges in PDAC (Pancreatic Ductal Adenocarcinoma) treatment is that therapy selection currently relies on performance status assessme
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 Breakthrough Device designation through the EMA Breakthrough Me
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 microenvironment coordinate adaptive responses that drive drug