PREDICT
Predictive Response and Disease Evaluation in Ovarian Cancer with Generative AI.
PREDICT is an initiative to support cancer care. By generating post-chemotherapy CT images at diagnosis, anticipating tumor progression, and predicting treatment response before therapy begins – helping clinicians make more informed decisions and enabling more precise, personalized care. The project is committed to rigorous validation to ensure clinical integration, adoption, and real-world impact.
PREDICT has the potential to reduce ovarian cancer mortality in Lombardy, where about 500 deaths occur each year, with a meaningful share linked to diagnostic delays.
PEOPLE
PARTNER
Politecnico di Milano (Milan, IT)
IEO: Istituto Europeo di Oncologia (Milan, IT)
Università degli studidell’Insubria (Varese, IT)
PUBLICATIONS
Pastori, F., Fati, F., Rosanu, M., De Vitis, L., Ribero, L., Schivardi, G., … & De Momi, E. (2026). Predicting Response to Neoadjuvant Chemotherapy in Ovarian Cancer from CT Baseline Using Multi-Loss Deep Learning. arXiv preprint arXiv:2605.14991.
Panaccione, F. P., Lomurno, E., & Matteucci, M. (2026). Knowledge-guided 3d ct generation: A conditioning-centric taxonomy. arXiv preprint arXiv:2608.09992.
Panaccione, F. P., Lomurno, E., Fati, F., Pecchiari, C., Rosanu, M., De Vitis, L., … & De Momi, E. (2026). Evidence-Based Text-Conditioned 3D CT Synthesis for Ovarian Cancer. arXiv preprint arXiv:2606.28980.
This project has been supported by Fondazione Regionale per la Ricerca Biomedica (Regione Lombardia), project ID 012024R0055.
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NEARLab is located inside the Leonardo Robotics Labs space at Politecnico di Milano, piazza Leonardo da Vinci 32, Building 7, 20133, Milano, Italy
and at Campus Colombo in Via Giuseppe Colombo, 40, 20133 Milano MI
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Benjamin Fortuno, Matteo Di Mauro, Alessandra Maria Trapani
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