Digital pathology · Multimodal AI · Digital twins
A clearer picture of prostate cancer.
PRODIGY brings together researchers in Greece and China to explore how digital pathology, explainable artificial intelligence, and digital twins can support more informed diagnosis.
A Greece–China research collaboration
University of Piraeus · Fudan University · BioAssist S.A.
Connecting data. Advancing understanding.
From microscopic tissue images to a broader view of disease, our research connects complementary sources of medical information.
01 / Digital pathology
Learning from tissue
Investigating image analysis for disease classification, Gleason grading, and the detection of defects in digital pathology images.
02 / Multimodal AI
Bringing evidence together
Studying how imaging, clinical, genomic, and text data can contribute to disease modelling and prognostic research.
03 / Digital twins
Modelling disease progression
Developing digital representations to explore the evolution of prostate cancer, with explainable predictions and expert feedback.
Built on collaboration.
University of Piraeus, Fudan University, and BioAssist S.A. contribute complementary expertise in computing, digital medicine, and healthcare technology.
Research objectives, not established clinical outcomes. Public findings will be shared as they become available.
Latest from PRODIGY
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