Pietro Centorrino
Pietro Centorrino is a biophysicist with a background in complex systems. His primary research explores the application of systems thinking to ecological models of tumor development. He is particularly interested in developing dynamic simulators and digital twin approaches for multiple myeloma to support more tailored clinical strategies. Alongside this work, he maintains an active involvement in environmental education and community science: he teaches Climate Emergency and Sustainability at Ca'Foscari University, has brought ecological themes into schools and a detention facility, and participates in community-based river monitoring along the Elsa River, where he also helps tend a community garden experimenting with low‑impact cultivation along riparian areas. He is a member of Scienza Radicata, a network dedicated to putting science at the service of communities facing environmental harm.
Ambito di ricerca: Computational Biophysics for Complex Disease
Progetto di ricerca keywords: Systems Thinking, Dynamic Simulation, Complex disease, Multiple Myeloma, Digital Twin, Tailored Medicine
Abstract
The systems thinking analytical approach enables the development of a dynamic simulator for multiple myeloma, linked to biological and genetic profiles derived from biomedical data, provid-ing clinicians with a novel means for integrated, tailored therapy. This multidisciplinary project at the border of computational biology, physics, and medicine might open a new research field that connects cell ecology and cancer treatments. All multi-step neoplastic processes could be virtually simulated, and the Systems Thinking framework may give dynamic descriptions without using free parameters. The final aim is the development of a digital twin of multiple myeloma that could improve therapy determination and provide valuable clinical insight for the control of a disease considered incurable.
- P. Centorrino, A. Corbetta, E. Cristiani, E. Onofri
Managing crowded museums: Visitors flow measurement, analysis, modeling, and optimization.
Journal of Computational Science, Volume 53, 2021, https://doi.org/10.1016/j.jocs.2021.101357 - Calattini I. , Casini S. , Leonzio C. , Giani D. , Ancora S. , Fiaschi T. , Centorrino P. , Marsili L. , Fossi MC. , Angiolini C. , Campani T.
Development of a holistic approach for river health assessment: from bioindicators to the ecosystem.
Environmental science and pollution research international, 2025, 32(29), 17618–17636. https://doi.org/10.1007/s11356-025-36696-7 - S. Cocchi, D. Ribezzo, G. Guarda, P. Centorrino, T. Occhipinti, A. Zavatta, and D. Bacco
Time-bin encoding quantum key distribution in free-space horizontal links during nighttime and daytime
Optica Quantum, DOI:10.48550/arXiv.2501.08891