Department of Biomedical Informatics
Biomedical Informatics is a multidisciplinary field focused on leveraging data, information technology, and computational tools to advance healthcare and biomedical research.
The programme equips students with skills in data analysis, machine learning, and the development of innovative solutions for clinical practice, healthcare management, and translational research, ultimately aiming to improve patient care and health outcomes through the effective use of biomedical data and informatics principles.
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HALE Masterclass 2025 offers an extraordinary learning experience bridging AI and health innovation with strategic leadership for an executive audience in healthcare, medtech, policy, and related fields. Participants will explore the strategic applications of AI in healthcare through modules on leadership, ethics, and implementation, gaining insights into AI's role in patient care, decision-making, and outcomes.
The Singapore Long-Read Symposium aims to provide a broad overview of the current landscape of long-read sequencing and its impact on genome research, shedding light on future directions and potential breakthroughs in the field.
Co-organised by Singapore’s leading healthcare clusters (NUHS, NHG, SingHealth) and renowned medical institutions (NUS Yong Loo Lin School of Medicine, NTU Lee Kong Chian School of Medicine and Duke-NUS Medical School), the conference and datathon saw over 700 industry experts, academics and medical professionals delve into the latest advancements and real-world applications of artificial intelligence in healthcare.
A graduate of the Master of Science in Biomedical Informatics, Eva Baker shares how the programme offered her a deeper insight into the healthcare ecosystem in Singapore, value-adding to her knowledge and professional expertise in healthcare analytics. She also highlights key courses essential in her learning journey that future students will find beneficial to their career development in healthcare informatics.
[Article Credit: Academic Programmes Business Unit (APB), SCALE]