CancerScan

Project Details

Smart pathology slide scanner for diagnosis and patient-specific treatment recommendation in oncology

CancerScan aims to develop a digital pathology slide scanner that creates patient-specific tumour digital twins to simulate drug responses. Focusing on pancreatic cancer, it combines multi-omics data from biopsies with clinical information to explore how the tumour microenvironment influences treatment outcomes. Lab-grown tumour organoids are used to test drugs in controlled settings, with results validated against patient data. The project builds on five pillars: tumour communication mapping, biomedical knowledge graphs, network analysis, treatment modelling, and hardware design for simulation. CancerScan will support personalised cancer care by helping clinicians make more informed, data-driven treatment decisions tailored to each individual patient.