Healthcare AI Leadership Executive Education (HALE)

Overview

Technological advances and innovations in machine learning and data analytics promise to revolutionise healthcare. While some technologies have been adopted in certain areas of the healthcare system, their potential is far from maximised. Leaders in healthcare technology need to be prepared to spearhead the continued development and application of new technologies to address changing needs, increase efficiency and improve the quality of personalised care. This programme will introduce you to the evolving landscape of medical technologies like Artificial Intelligence and Machine Learning and equip you to harness and implement these technologies in your work.

Brief of program	A unique course that aims to elevate aspiring leaders in AI and healthcare into positions of authority, providing in-depth, insider knowledge from industry practitioners.
Duration	4 days
Intake	TBC
Application Deadline	TBC
Venue	Mochtar Riady Building, Level 3, 15 Kent Ridge Drive Singapore 119245

Core Focus

Biomedical Informatics in Practice: Evaluate the state of biomedical informatics in healthcare and how innovators play a part to shape it.

AI Technology in Biomedical Informatics: A primer to the application of AI technologies such as Machine Learning and Neural Networks in healthcare data; learn how innovations are employed to cater to different domains and needs in healthcare.

Clinical Applications of AI: Delve into the function and potential application of specific innovations; evaluate challenges and limitations in the development and application of informatics in healthcare.

Venture Capital and Financing Innovation: Healthcare is undergoing a transformation with the advent of technology. In Q1 2020, $700M of VC funding was deployed into healthcare technology in APAC alone. In this course, we will examine and discuss strategies for launching, raising capital and scaling a healthcare technology startup, with a focus on innovation in biomedical informatics.

Leadership in the AI-driven Organisation: Understand how and why Intelligent technologies are becoming part of your organisation. Explore the different strategies of AI adoption and employment in organisations with inclusive leadership as a primary source of influence in working in a data-driven context with the right purpose and values.

AI in Clinical Practice: Explore the scope of technological advancement in healthcare; learn about current projects implemented and future applications.

Speakers / Professors

Name	Designation	Biography
A/Prof Ngiam Kee Yuan	Group Chief Technology Officer, NUHS Corporate Office Other positions: Associate Professor, Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore; Senior Consultant, Department of Surgery, National University Hospital Singapore; Director, Surgical Research and Development, Department of Surgery, National University Hospital Singapore; Deputy Chief Medical Informatics Officer, National University Hospital; Chief Advisor, Center for innovation in Healthcare, NUHS	Dr Ngiam is Senior Consultant at the Division of General Surgery (Thyroid and Endocrine Surgery) at the National University Hospital, specializing in Thyroid and Endocrine surgical disorders. He is also concurrently, the Group Chief Technology Officer of NUHS. Following the completion of his Advanced Specialist Training in General Surgery, he was awarded a fellowship from the Royal College of Surgeons of Edinburgh and was accredited as a surgical specialist by the Specialist Accreditation Board, Singapore in 2012. He received the Higher Manpower Development Program Award in 2012 to complete a Fellowship in Metabolic and Endocrine Surgery in Taiwan. He received further training in robotic thyroid surgery at the Seoul National University Hospital, South Korea. Dr Ngiam’s special interests are in thyroid and endocrine surgery, robotic thyroid surgery, and laparoscopic surgery. He was awarded the ExxonMobil-NUS Research Fellowship for Clinicians in 2007 and his research interests include parathyroid surgery, robotic thyroid surgery and thyroid cancer surgery. Digital health is one of Dr Ngiam’s greatest passions and in his role as Group Chief Technology Officer, he has developed and deployed numerous projects and platforms, including the award winning DISCOVERY AI platform, which is a NUHS protected cloud dedicated to research and development of AI tools. He is the recipient of numerous technology awards, including the Singapore Ministry of Health National Health IT Awards 2018 for Champion in Health IT Excellence.
Professor Dean Ho		Prof. Dean Ho is Provost’s Chair Professor, Director of The N.1 Institute for Health (N.1), Director of the Institute for Digital Medicine (WisDM), and Head of the Department of Biomedical Engineering at the National University of Singapore. Using his CURATE.AI platform, Prof. Ho has led multiple pioneering clinical studies that have validated the promise of N-of-1 medicine, where only a patient’s own data is used to personalise their treatment for the entire duration of care. Multiple CURATE.AI-based clinical studies are ongoing or cleared for start in the areas of solid cancer and blood cancer therapy, digital therapeutics/personalised learning, and post-organ transplant immunosuppression, among others. Prof. Ho is an elected member of the US National Academy of Inventors (NAI). Election to the NAI is the highest professional honor for academic inventors. He is also a Fellow of the American Institute of Medical and Biological Engineering (AIMBE) and Society for Laboratory Automation and Screening, as well as a Fulbright Scholar. He is also a recipient of the NSF CAREER Award, Wallace H. Coulter Foundation Translational Research Award, and V Foundation for Cancer Research Scholar Award, among others. Prof. Ho was recently named to the Asia Tatler Gen.T List, which honours young leaders who are shaping the future of the region. Prof. Ho has appeared on the National Geographic Channel Program “Known Universe” to discuss his discoveries in drug delivery and imaging. His discoveries have been featured on CNN, The Economist, Forbes, Washington Post, NPR and other international news outlets. He has served as the President of the Board of Directors of the Society for Laboratory Automation and Screening (SLAS), a 26,000+ member global drug development organization comprised of senior executives from the pharmaceutical and medical device sectors, as well as academic thought leaders.
Professor David De Cremer	Provost's Chair, Professor, NUS Business School, Department of Management and Organisation	David De Cremer is the provost chair and professor in Management and Organisation at NUS Business School, a fellow at the University of Cambridge, Department of Economics & Policy, an affiliate researcher at the JusticeCollaboratory at Yale Law School, Yale University (US), a visiting fellow at the Hoover Institution, Stanford University and a member of the Academic Committee of the national TV institute China Fortune Academy. Before moving to NUS, he was the KPMG endowed professor of management studies at Cambridge Judge Business School, and a fellow at St. Edmunds college, University of Cambridge (UK). He is the founder of the LEAD platform (LEading Artificial intelligence & Digital management; www.daviddecremer.com/lead/) and a scientific advisor of Novartis (the Ethics-based Compliance Initiative), and KPMG (building trustworthy climates).
Dr Kenneth Ban		Kenneth obtained his BSc (Hons) in Biochemistry and MBBS degrees from the National University of Singapore (NUS) and a PhD in Cancer Biology from Stanford University. He completed his postdoctoral training in mouse cancer genetics at the Institute of Molecular and Cell Biology (IMCB) Singapore before joining the Department of Biochemistry at NUS. He also serves as the Program Director for Health/Biomedical and Life Sciences at the National Supercomputing Centre (NSCC) Singapore. His research and education interests are in cancer genetics, high-performance computing for precision medicine, and the development of technology-enhanced learning platforms for medical and health/bioinformatics education.
Asst Prof Feng Mengling		Dr. Feng is currently an Assistant Professor at Institute for Data Science, National University of Singapore, and the Senior Assistant Director of National University Hospital championing the big data analytics efforts His research is to develop machine learning algorithms to extract actionable knowledge from large amount of data to enable better quality of healthcare. His research brings together concepts and tools across deep learning, optimization, signal processing, statistical causal inference and big data management. Dr. Feng’s work was recognized by both well-established journals, such as Science Translational Medicine, JAMA and top international conferences, such as KDD, AAAI and AMIA
Mr Gavin Teo		Gavin Teo is a General Partner at Altara Ventures, an early stage, Southeast Asia focused venture capital fund, where he invests in high growth technology startups. Mr. Teo was formerly General Partner at B Capital Group, a growth equity fund in the US and Asia, where he ran the firm’s investment committee and managed the San Francisco office. Mr. Teo previously invested and served on the Board of Directors for Atomwise, AImotive, Bright.md, CXA Group, Galen Growth, Fishbrain and SilverCloud Health. Prior to joining B Capital Group, Mr. Teo spent five years at Comcast Ventures, the corporate venture capital arm of Comcast and NBC Universal. Earlier in his career, he was a product manager for Farmville at Zynga, a management consultant at Bain & Company, and served in the Singapore Armed Forces. Mr. Teo is based in his native Singapore. He grew up in Hong Kong and the United States. He earned his M.B.A. from The Wharton School of the University of Pennsylvania, where he graduated as a Palmer Scholar, and earned his B.A. from Claremont McKenna College.

Fees / Registration