Digital Twins in Urological Oncology: Precise Treatment Planning via Complex Modeling
Enrico Checcucci, Christoph Oing, Daniele Amparore, Francesco Porpiglia, Pasquale Rescigno
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.
Topics & Concepts
MedicineMedical physicsOncologyInternal medicineMathematical Biology Tumor GrowthSimulation Techniques and Applications