Overview

The field of AI for Biomedical Science and Healthcare analytics has now become a key player in both medical research and education and has been implemented in diverse medical subjects including pathology, epidemiology, genetics, surgery, cell and molecular biology, pharmacology, and precision medicine. Additionally, due to the inherent complexity in medicine and biomedical data, biomedical and healthcare analytics requires substantial and deep knowledge in computer science and software engineering. This Master in AI for Biomedical and Healthcare Applications is designed to provide a multidisciplinary knowledge and skills to the computing, biomedical, and engineering science students, enabling them to work in the various tracks related to biomedical and health analytics with many career options lying ahead. The proposed program aims at building a research-centered environment for the application of AI to biomedical and health analytics research and ideas that will provide world-class knowledge and expertise for multidisciplinary research in computer science, biomedicine, health science, mathematics, and engineering. This includes using AI-based algorithms to integrate genetics with clinic-pathology and analysis of vital signs from patients to derive diagnostic and prognostic biomarkers that can explain the molecular mechanism of diseases. Another example is the application of computer vision and image processing and machine learning on digital imaging derived from histopathology slides to identify early diagnostic biomarkers for disease.