Virtual Patient Simulation System

Principal Investigator:
Prof. CHAN Wing Chi Lawrence, Associate Professor, Department of Health Technology and Informatics; Founder, Advantage Data Vision Limited (a PolyU startup)

This invention is an algorithm that generates synergistic markers to predict treatment outcomes, such as cancer treatment responses and relapse. Using genomic (DNA) or phenotypic (observable traits) data, the system simulates clinical outcomes with probability estimates and decision curve visualisations. The system is compatible with high-end standalone workstations and cloud platforms, offering high flexibility and scalability. 

Its key advantages include personalised treatment planning, faster clinical decision-making, and improved patient outcomes by reducing trial-and-error approaches. By providing accurate, data-driven insights, the system also helps healthcare providers optimise treatment strategies, reduce costs and enhance overall healthcare efficiency.

Enabling more precise, effective treatments, this invention has the potential to revolutionise personalised medicine and improve overall care management. It also empowers clinicians to make more informed decisions, ultimately leading to better patient care and outcomes.