PolyU Launches AI Virtual Patient Simulation System to Advance Precision Cancer Care

PolyU announces creation of an artificial‑intelligence driven virtual patient simulation platform through advanced modeling techniques designed to support precision cancer treatment planning. The system replicates individual tumor behavior, allowing clinicians to explore therapy options without exposing real patients.

AI engine behind the platform integrates clinical data, imaging and genetic profiles to generate realistic patient models, aiming to improve predictive accuracy for drug response and side‑effects before clinical trials begin.

Precision Cancer Care benefits from the simulation by reducing trial‑and‑error in treatment selection, potentially shortening time to effective therapy, lowering costs associated with ineffective regimens, and may reduce reliance on invasive biopsies.

Researchers expect the tool to accelerate personalized oncology research, offering a testbed for new drugs, fostering collaboration between hospitals and academic labs, and to streamline regulatory approval processes for targeted therapies.