Overview
Explore how AI technologies are transforming healthcare in a live online programme led by faculty experts from Asia’s Leading Medical School—NUS Yong Loo Lin School of Medicine (NUS Medicine).
Artificial intelligence (AI) technologies are revolutionising nearly every aspect of healthcare. From data management to drug discovery and development to clinical practice and patient care, the innovations of AI continue to optimise and advance medical services. For instance, deep learning and neural network algorithms are being used to predict healthcare patterns in patients while machine learning technologies are leveraged to identify and bridge gaps in resources. To provide ground-breaking solutions across healthcare markets into the future, industry professionals must understand how these modern technologies will evolve and impact medical practices. By understanding the impact of current and emerging AI technologies—including global trends and regulatory constraints —healthcare professionals can drive decision-making, elevate patient care, and improve profitability and performance. Whether you want to gain the knowledge to invest in AI projects that can move healthcare research ahead faster and with greater predictability, design secure solutions for patients and customers, or develop enhanced products related to medical services, this programme can put you on the path to make a real difference within —and beyond—your organisation.
Course Description & Learning Outcomes
13 live webinars from renowned NUS faculty and industry practitioners
Real-World Case Analysis
No prior AI knowledge is needed.
The programme includes latest topics such as Generative AI, Hybrid Clouds, and Digital Transformation
Module 1: Introduction to Digital Transformation in Healthcare
Module 2: Biomedical Informatics Fundamentals
Module 3: Managing the Life Cycle of Data
Module 4: Introduction to Machine Learning in Healthcare
Module 5: Deep Neural Network for Healthcare
Module 6: Use of Hybrid Clouds in Healthcare
Module 7: Role of AI in Drug Discovery, Development and Administration
Module 8: Treatment Optimisation for Populations and Personalised Medicine
Module 9: AI Development in Clinical Practice
Module 10: Implementing AI in Clinical Practice
Pre-course instructions
To enrol and to qualify for the 20% corporate discount for Deep Tech Central members, email us directly at [email protected]
Schedule
End Date: 09 Feb 2026, Monday
Location: Online
Pricing
Course fees: 2750 USD before 20% Deep Tech Central discount rate In order to qualify for the 20% discount, sign up for the course on Deep Tech Central, using the registration link available here or by emailing us at [email protected]
Skills Covered
PROFICIENCY LEVEL GUIDE
Beginner: Introduce the subject matter without the need to have any prerequisites.
Proficient: Requires learners to have prior knowledge of the subject.
Expert: Involves advanced and more complex understanding of the subject.
- Biomedical (Proficiency level: Beginner)
Speakers
Trainer's Profile:
Professor Ngiam Kee Yuan, Program Faculty, NUS Yong Loo Lin School of Medicine
Professor Ngiam is Senior Consultant at the Division of General Surgery at the National University Hospital (NUH) who specialises in thyroid and endocrine surgical disorders. He also serves as the group chief technology officer of National University Health System (NUHS).
Trainer's Profile:
Dr Feng Mengling, Program Faculty, NUS Yong Loo Lin School of Medicine
Dr Feng is currently the Assistant Director of Research at the Institute for Data Science, National University of Singapore. He also serves as the Senior Assistant Director of National University Hospital, championing big data analytics efforts.
