The Data Science and Artificial Intelligence (DSAI) research program is dedicated to unlocking the full potential of biomedical data through advanced analytics and state-of-the-art AI methodologies. As the volume and complexity of biomedical data continue to grow, driven by technological advancements, DSAI focuses on harnessing these data to provide objective, thorough, and deep insights that can drive medical progress.

DSAI operates at the intersection of medicine and computer science, leveraging the expertise of faculty who specialize in both fields. Being part of a medical school within a technological university, the program benefits from close collaboration with clinical partners and engineering colleagues. This unique positioning allows DSAI to identify and tackle significant medical challenges using the latest analytical capabilities.

The program addresses key data science challenges, including data integration, imputation, normalization, and batch correction. With extensive experience in analysing high-dimensional biomedical data, DSAI applies its expertise across a wide range of life sciences and medical research areas in collaboration with other researchers.

DSAI has made substantial strides in AI, particularly in computer vision and Explainable AI (XAI), which have strong applications in medicine. Medical imaging, a critical form of medical data, has been a primary focus of AI, leading to improved diagnostic accuracy and reduced workloads for healthcare professionals. However, in a field where the consequences of errors can be severe, DSAI via its expertise in XAI emphasizes the importance of creating AI models that are not only accurate but also transparent and trustworthy for medical staff.

The Centre for Biomedical Informatics (CBI), housed within DSAI, provides analytical support and training to the school and the broader research community, including other university departments, medical institutes, and research centers. CBI's multidisciplinary team collaborates with researchers to translate complex biomedical problems into solvable computational challenges, driving meaningful insights.

Overall, DSAI is at the forefront of integrating data science and AI into biomedical research, enhancing the ability to address critical medical questions with precision and innovation.

Click to head to www.ntu.edu.sg/medicine/cbi

Primary Faculty