PRODIGY researches digital pathology image-based intelligent diagnosis techniques for prostate cancer and the development of a digital twin software system.
A shared research ambition
The project investigates how machine learning and multimodal medical data can support diagnostic research, disease modelling, and explainable predictions. Human expertise, fairness, privacy, and open science are integral to this approach.
Programme and identity
The proposal is part of the Greece–China Bilateral Scientific and Technological Cooperation action under the Competitiveness programme, ΕΣΠΑ 2021–2027. Project code: ΔΣΕΚΡ01-0021403. Project period: 2026–2028 (24 months).
What we aim to develop
Research objectives include AI-assisted disease classification and Gleason grading, multimodal prognosis models, image defect detection, explainability mechanisms, and digital twins of disease progression. These capabilities remain research objectives until evaluated results are available.
Research work plan
Planned project months (M1–M24), as described in the proposal. The bars show planned activity periods, not completion or current progress.
ΕΕ1 / Open science, risk management, and ethics
M1–M24
ΕΕ2 / Requirements analysis and design
M1–M8
ΕΕ3 / System development
M6–M24
ΕΕ4 / Pilot operation and evaluation
M18–M24
ΕΕ5 / Exploitation and sustainability
M1–M24