Please note that the programme duration includes a break week for Christmas from 24th Dec 2024 to 1st Jan 2025, and for Chinese New Year from 28th Jan 2025 to 3rd Feb 2025.
Emeritus and NUS unite to offer an exclusive opportunity. Enrol before 11 October 2024 using this code: APAC200ALL8364 and get USD 200 program fee benefit. Limited seats available. Reserve your spot today!
Describe the fundamentals of biomedical informatics and digital transformation
Explain the key aspects of managing the life-cycle of data
Define the key AI terminologies and identify the opportunities of integrating deep learning in healthcare AI
Recognise the role of AI in drug discovery, development and administration
Examine the use of AI in optimising treatment for populations and personalised medicine
Analyse the impact of AI on quality of care and operations in healthcare
Explain the implementation of strategies and frameworks for AI in healthcare workflows
Describe the importance and implementation of Cloud technologies and Generative AI in healthcare operations
Create an executive summary of an AI implementation/improvement plan for your organisation
13 live webinars from renowned NUS faculty and industry practitioners.
Assignments
Discussion Boards
Real-World Case Analysis
The program includes latest topics such as Generative AI, Hybrid Clouds, and Digital Transformation in Healthcare
No prior AI knowledge is needed.
Note: The programme highlights mentioned above are subject to change based on faculty availability and the desired outcomes of the programme.
**Assignments will be graded by industry practitioners who are available to support participants in their learning journey, and/or by the Emeritus grading team. The final number of quizzes, assignments, and discussions will be confirmed closer to the start of the programme.
The State of Artificial Intelligence-Based FDA-Approved Medical Devices and Algorithms: An Online Database
Project IDentif.AI: Harnessing Artificial Intelligence to Rapidly Optimize Combination Therapy Development for Infectious Disease Intervention
Addressing COVID-19 Drug Development With Artificial Intelligence
AIDAN and AI-LIN vs. Vinny the Virus
Big Data and Machine Learning Algorithms for Healthcare Delivery
AI-Assisted Decision-Making in Healthcare
Capturing Feature-Level Irregularity in Disease Progression Modelling
Emergency Call Center AI Assistant
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. 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.
Faculty, NUS Yong Loo Lin School of Medicine
Associate Professor Ngiam is Senior Consultant at the Division of General Surgery at the National University Hospital (NUH) who specialises in thyroid and endocrine surgical d...
Faculty, NUS Yong Loo Lin School of Medicine
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 o...
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...
Faculty, NUS Yong Loo Lin School of Medicine
Dr Ban obtained his BSc (Hons) in Biochemistry and MBBS degrees from NUS and a PhD in Cancer Biology from Stanford University. He completed his postdoctoral training in mouse ...
Note: Programme Faculty for the live sessions might change due to unavoidable circumstances, and revised details will be shared closer to the programme start date.
Note: *All product and company names are trademarks or registered trademarks of their respective holders. Use of them does not imply any affiliation with or endorsement by them.
Participants who successfully complete the programme and meet the requisite 65% minimum attendance criteria will be awarded a verified digital certificate by NUS Yong Loo Lin School of Medicine.
Note: All certificate images are for illustrative purposes only and may be subject to change at the discretion of the NUS Yong Loo Lin School of Medicine.
Stepping into a business leadership career requires a variety of job-ready skills. Below given services are provided by Emeritus, our learning collaborator for this program. The primary goal is to give you the skills needed to succeed in your career; however, job placement is not guaranteed.
Emeritus provides the following career preparation services:
Resume building videos
Interview preparation videos
Linkedln profile building videos
Interview guidebooks
Glossary of resume templates
Please note:
NUS or Emeritus do not promise or guarantee a job or progression in your current job. Career Services is only offered as a service that empowers you to manage your career proactively. The Career Services mentioned here are offered by Emeritus. NUS is not involved in any way and makes no commitments regarding the Career Services mentioned here
What is it like to learn with the learning collaborator, Emeritus?
More than 300,000 professionals globally, across 200 countries, have chosen to advance their skills with Emeritus and its educational learning partners. In fact, 90 percent of the respondents of a recent survey across all our programs said that their learning outcomes were met or exceeded. All the contents of the course would be made available to students at the commencement of the course. However, to ensure the program delivers the desired learning outcomes, the students may appoint Emeritus to manage the delivery of the program in a cohort-based manner during the course period the cost of which is already included in the overall Course fee of the course.
A dedicated program support team is available 7 days a week to answer questions about the learning platform, technical issues, or anything else that may affect your learning experience.
Flexible payment options available.
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