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3 December - Industry Day / Roundtable on AI Transformed Medical Education
4 December - Day 1
5 December - Day 2
8:30 am — 10:30 am
Industry Workshop 1

Venue: Seminar Room, Level 2
 

8:30 am — 10:30 am
Industry Workshop 2

Venue: LKCMedicine Heritage Centre, Level 2

10:30 am — 11:00 am
Coffee Break
11:00 am — 12:30 pm
Industry Workshop 3

Venue: Seminar Room, Level 2

11:00 am — 12:30 pm
Industry Workshop 4

Venue: LKCMedicine Heritage Centre, Level 2

12:30 pm — 1:30 pm
Lunch Reception
1:30 pm — 6:00 pm
Roundtable on AI Transformed Medical Education

By invitation only.

8:30 am — 9:00 am
Plenary 1 – Implementation of AI in Clinical Settings

From Compute to Clinic: Implementation of AI in Clinical Practice

Professor Muhammad Mamdani
Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

9:00 am — 9:30 am
Plenary 2 – AI-assisted Hospital at Home

AI-assisted Hospital at Home

Professor Andrew Farmer
Nuffield Department of Primary Care Health Sciences, University of Oxford

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

AI-assisted Hospital at Home

Abstract

Advances in sensing, connectivity and artificial intelligence are changing what can be observed and interpreted when patients receive acute care at home. However, the fundamental requirements of high-quality clinical care remain unchanged: to observe the right things, recognise meaningful change, direct clinical attention appropriately, and act when it matters.

Successive innovations, from clinical measurement and continuous physiological monitoring to connectivity, signal fusion and ambient sensing, have progressively expanded what can be observed away from the bedside. The emerging opportunity is to move beyond individual measurements and fixed thresholds towards multimodal, longitudinal assessment: combining physiology, symptoms, activity, and clinical context to identify meaningful change in an individual patient's trajectory. Advances in signal processing, multimodal data fusion and AI create the possibility of moving from threshold-based alerts towards personalised interpretation of longitudinal change. The challenge is not simply to generate more data, but to convert increasingly rich data streams into reliable signals that make clinical attention manageable and actionable. Important questions remain: which signals should we measure, how should we distinguish meaningful change from noise, how should information from different sources be combined, and how can better prediction be translated into better clinical outcomes?

Prediction is different from decision-making: clinical context, uncertainty, patient preferences, and the capacity to respond remain fundamental to safe care. Drawing on research and practical experience in remote monitoring, the talk will consider the opportunities, limitations and evidence gaps for AI-enabled Hospital-at-Home and set out practical principles and research priorities for systems that support clinical judgement, patient values and timely action. 

9:30 am — 10:00 am
Opening Ceremony

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

10:00 am — 10:30 am
Panel Discussion 1 – Clinical Implementation of AI: Challenges and Opportunities

Moderator
Associate Professor Jonty Heaversedge, Director, Digital Innovation Office, CHI, NHG Health

Panellists

  • Professor Muhammad Mamdani, Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto
  • Professor Andrew Farmer, Nuffield Department of Primary Care Health Sciences, University of Oxford
  • Associate Professor Hyeokkoo Eric Kwon, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
  • Dr Ong Chin Siang, Assistant Professor of Surgery, Yale School of Medicine
  • OPEN Panellist

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

10:30 am — 11:00 am
Morning Coffee Break
11:00 am — 12:30 pm
Conference Workshop A1 - AI-assisted Mental Health

Can We Trust AI with Mental Health?

Led by

  • Assistant Professor Wilson Goh, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 
  • Professor Albert Yang, School of Medicine, National Yang Ming Chiao Tung University

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

11:00 am — 12:30 pm
Conference Workshop A2 - Cognitive Offloading & Deskilling

Navigating Cognitive Offloading & Deskilling: Preventing Clinical Deskilling in AI-Integrated Healthcare

Led by

  • Assistant Professor Fan Xiuyi, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
  • Assistant Professor Ng Wee Khoon, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Venue: Seminar Room, Level 2

12:30 pm — 1:30 pm
Lunch & Poster Presentation

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1 & Foyer

1:30 pm — 2:00 pm
Industry Lunch Symposium by Alibaba

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1 & Foyer

2:00 pm — 2:30 pm
Plenary 3 – AI in Drug Development

Computational modelling in drug discovery: from physics to deep learning

Professor Matthew Jacobson
Programme Director, AI in Drug Discovery, Agency for Science, Technology and Research (A*STAR)

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

Computational modelling in drug discovery: from physics to deep learning

Abstract

I will discuss progress in computational drug design over the past 3 decades, illustrated with examples from (1) my academic career at UCSF and companies I co-founded, notably Relay Therapeutics (allosteric drugs) and Circle Pharma (macrocyclic peptide drugs); and (2) work underway at the new AI in Drug Discovery program, which I have the honor of leading.  In considering the future of drug discovery, I will advance the following theses:  (a) LLMs, by themselves, are insufficient to solve major rate- and success-limiting factors in drug discovery; (b) representation of drug-like small molecules in neural networks is an incompletely solved problem, as is the representation of cell biology, and AI has not yet reached an inflection point in these arenas; (c) scaling data and training is thus unlikely to enable AI to reach a true inflection point without also improving molecular representation as well as physical and biological causality.

2:30 pm — 3:00 pm
Plenary 4 – AI for Elderly Care

Artificial intelligence offers a means through which to reimagine elderly care

Professor Brendan Delaney
Chair in Medical Informatics and Decision Making, Imperial College London

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

Artificial intelligence offers a means through which to reimagine elderly care

Abstract

Globally we see increasingly older populations, rising concurrence of long term conditions combined with survivorship in cancer and cardiovascular disease representing a critical challenge to health and social care systems. Frailty and dementia increase significantly in older age and rising obesity rates have reversed many of the gains seen in healthy life expectancy. AI has a role to play in prevention, diagnosis management and social care to meet this challenge.

Unsupervised machine learning models, using transformers, either as next token prediction (SurvivEHR) or using logistic regression on embeddings, are enhancing risk prediction and allowing earlier interventions to prevent deterioration. AI-driven clinical decision support also leverages logic-based frameworks—including argumentation theory, Answer Set Programming (ASP), and the work of NICE in the UK, the global MCBK initiative and WHO’s SMART Guidline toolkit—enabling clinicians to navigate complex, sometimes conflicting guidelines with clarity and confidence.

Beyond the clinic, AI is reshaping personal care environments. Digital twins may herald an era of truly personalised medicine, tailoring interventions to the unique physiology and health trajectories of each individual. Meanwhile, sensors, mobile applications, smart reminders, and domestic robotics are creating safer, more supportive living environments. Fitness and strength-building apps further contribute to maintaining independence and quality of life.

This keynote will explore how AI can move elderly care from reactive crisis management to proactive, holistic wellbeing, highlighting real-world solutions and addressing the ethical and operational implications of this technological transformation.

3:00 pm — 3:30 pm
Panel Discussion 2 – Precision Medicine

Moderator

  • Assistant Professor Alvin Chan, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Panellists

  • Professor Matthew Jacobson, Programme Director, AI in Drug Discovery, Agency for Science, Technology and Research (A*STAR)
  • Associate Professor Tan Ern Yu, Tan Tock Seng Hospital, NHG Health
  • Professor Alessandra Russo, Department of Computing, Imperial College London

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

3:30 pm — 4:00 pm
Afternoon Coffee Break
4:00 pm — 5:30 pm
Conference Workshop B1 – Digital Twin

Led by

  • Assistant Professor Joseph Ahn, Mayo Clinic
  • Dr Andrew Wu, Co-founder, Mesh Bio Singapore

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

4:00 pm — 5:30 pm
Conference Workshop B2 – Agentic AI

Led by

  • Assistant Professor Sabrina Wong, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
  • Assistant Professor Mohammad Shaheryar Furqan, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 

Venue: Seminar Room, Level 2

5:30 pm — 9:00 pm
Faculty Reception

An evening of networking and fellowship. Complimentary transportation will be provided.

(By invitation only)
Venue: Singapore Flyer 

9:00 am — 9:30 am
Plenary 5 - Neurocognitive AI

Professor Martin McKeown
Division of Neurology, University of British Columbia

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

9:30 am — 10:00 am
Plenary 6 - AI for Mental Health

Professor Albert Yang
School of Medicine, National Yang Ming Chiao Tung University

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

10:00 am — 10:30 am
Panel Discussion 3

Moderator
Assistant Professor Wilson Goh, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Panellists

  • Professor Martin McKeown, Division of Neurology, University of British Columbia
  • Professor Albert Yang, School of Medicine, National Yang Ming Chiao Tung University
  • Associate Professor Jimmy Lee, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

10:30 am — 11:00 am
Morning Coffee Break
11:00 am — 12:30 pm
Conference Workshop C1 – Medical Education

Led by

  • Associate Professor Mamatha Bhat, Department of Medicine, University of Toronto
  • Assistant Professor Chow Minyang, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
  • Dr Ke Yuhe, Singapore General Hospital, SingHealth

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

11:00 am — 12:30 pm
Conference Workshop C2 – AI Pathology

Led by

  • Dr Eugene Fan, Tan Tock Seng Hospital, NHG Health
  • Prof Aurel K. Qian, SenseCare (healthcare arm of SenseTime) 
  • Assistant Professor Fan Xiuyi, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Venue: Seminar Room, Level 2

12:30 pm — 2:00 pm
Industry Lunch Symposium & Poster Presentation

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1 & Foyer

2:00 pm — 2:30 pm
Plenary 7 – AI for Medical Training

Professor Joseph Sung
Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

2:30 pm — 3:00 pm
Plenary 8 – Forward Deployed Physicians: Building the Verification Layer for AI-enhanced Care

Associate Professor Dennis Shung
Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

3:00 pm — 3:30 pm
Panel Discussion 4

Moderator

  • Associate Professor Faith Chia, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Panellists

  • Professor Joseph Sung, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
  • Associate Professor Dennis Shung, Division of Gastroenterology and Hepatology, Department of Internal Medicine, Mayo Clinic
  • Professor Marcus Ong, Duke-NUS Medical School
  • Dr Daniel Quek, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
  • Assistant Professor Fan Xiuyi, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

3:30 pm — 4:00 pm
Afternoon Coffee Break
4:00 pm — 5:30 pm
Conference Workshop D1 – Elderly Care

Led by

  • Professor Miao Chunyan, College of Computing and Data Science, Nanyang Technological University, Singapore

Venue: Toh Kian Chui Annex Lecture Theatre, Level 1

4:00 pm — 5:30 pm
Conference Workshop D2 – Human-AI Co-piloting

Led by

  • Assistant Professor Renwen Zhang, Wee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore
  • Dr Chen Kok Pun, Tan Tock Seng Hospital, NHG Health

Venue: Seminar Room, Level 2

5:30 pm — 6:00 pm
Closing Ceremony & Awards Presentation
6:00 pm
End of Conference