ProCanAid: Digital twin for aided detection, diagnosis of prostate cancer and simulation of the effects and effectiveness of different oncological treatments
- Número de expediente
- R&D Strategic Areas MICINN 2021
The aim of this project is to develop a computational tool to create a 4D digital twin of the entire prostate of a patient. Novel AI-based magnetic resonance imaging segmentation algorithms will be applied to extract not only patient-specific prostate anatomy (transitional zone, peripheral zone, seminal vesicles, and neurovascular bundle) but also to detect PCa. The digital twin will incorporate in silico models considering the behavior of cells and tissues, to predict the effects of different types of oncological treatments not only on the tumor but also on the entire prostate, as well as to predict the efficacy of these treatments and the possible evolution of the disease.
Principal Investigator: Dr. Luis Martí Bonmatí