Digital Twins in Urological Oncology: Precise Treatment Planning via Complex Modeling

Enrico Checcucci; Christoph Oing; Daniele Amparore; Francesco Porpiglia; Pasquale Rescigno

doi:10.1016/j.euo.2024.10.005

Digital Twins in Urological Oncology: Precise Treatment Planning via Complex Modeling

Eur Urol Oncol. 2024 Oct 22:S2588-9311(24)00233-5. doi: 10.1016/j.euo.2024.10.005. Online ahead of print.

Authors

Enrico Checcucci¹, Christoph Oing², Daniele Amparore³, Francesco Porpiglia³, Pasquale Rescigno⁴

Affiliations

¹ Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Italy. Electronic address: [email protected].
² Translational and Clinical Research Institute, Centre for Cancer, Newcastle University, Newcastle upon Tyne, United Kingdom.
³ Department of Oncology, Division of Urology, University of Turin, San Luigi Gonzaga Hospital, Orbassano, Italy.
⁴ Department of Surgery, Candiolo Cancer Institute, FPO-IRCCS, Italy; Translational and Clinical Research Institute, Centre for Cancer, Newcastle University, Newcastle upon Tyne, United Kingdom.

PMID: 39443222
DOI: 10.1016/j.euo.2024.10.005

Abstract

Digital twins can revolutionize personalized medicine by providing virtual simulations for optimized treatment planning and patient care. Digital twins can enhance precision in oncology and surgery, although challenges regarding data and model complexity necessitate ongoing multidisciplinary collaboration for effective implementation.

Publication types

Editorial