Chief Supervisor

Prof. Ellen TAN

Project Title

Integration of Artificial Intelligence and Bioinformatics in Digital Health for Broad Eye and General Health Research

Synopsis

The rapid evolution of digital health has generated an unprecedented volume of complex clinical and biological data in broad eye and general health research. Current analytical approaches often face limitations in efficiently processing and synthesizing this massive information, highlighting the urgent need to develop and apply advanced computational pipelines for systematic evidence synthesis and automated scientific reporting.
This project focuses on integrating artificial intelligence (AI) algorithms, big data analysis, and bioinformatics within the framework of digital health. By utilizing large-scale cohort data mining and advanced computational pipelines, the study aims to systematically analyze multi-dimensional health data and streamline evidence synthesis. The findings are expected to provide robust, data-driven insights into broad eye and health research and lay a methodological foundation for future digital health applications and innovations.