Expo
Segment | Time | Segment Title | Speaker | Description |
| 1 | 8.30 – 8.55 | Registration starts | NA | |
| 2 | 9:00 AM | Emcee Welcome | NA | |
| 3 | 9 – 9.05 | Welcome Address by Prof Ngiam | Dr Ngiam Kee Yuan Group Chief Technology Officer, National University Health System Associate Professor, Yong Loo Lin School of Medicine, NUS | |
| 4 | 9.05 – 9.10 | Welcome Address by Prof Feng | Dr Feng Mengling Senior Assistant Director, National University Health System Assistant Professor, Saw Swee Hock School of Public Health, NUS | |
| 5 | 9.10 – 9.30 | NVIDIA: The Healthcare Metaverse | Dr Mona Flores, Global Head of Medical AI, NVIDIA Corporation | With the current interest in the Metaverse reaching a feverish pitch, Dr Mona from NVIDIA will go over what this means for healthcare, separating what is possible for near-term adoption vs the future and its possible use cases. She will also cover the tools needed to build the experience. Join us for this session as we speak about the Healthcare Metaverse. |
| 6 | 9.30 – 9.50 | Intel: Advancing Health & Life Sciences Innovation with Data-Driven Analysis | Ms Wendy Bohner, Health & Life Sciences Solution Architect, Intel Corporation | This session will cover key Health & Life Sciences trends in 2022 that are driving the need for data-driven insights. Learn how Artificial Intelligence and Machine Learning are being applied to Accelerate Scientific Discovery, Power the Smart Hospital and Modernize Digital Infrastructure. Among the use cases to be explored: how researchers are training models to recognize rare disease, how biopharma is transforming drug discovery, diagnosis and treatment, and how patient privacy is preserved while also providing greater access to data |
| 7 | 9.50 – 10.10 | MSD | Dr Asad Abu Bakar Ali Director & Singapore Site Lead, Biomarker & Target Sciences (Imaging) Translational Medicine Research Centre, Singapore MSD | |
| 8 | 10.10 – 10.30 | [Keynote Speaker] MIT: AI in Healthcare will Fail without Data Sharing | Guest of Honour: Dr Leo Anthony Celi Clinical Research Director, Laboratory of Computational Physiology, Massachusetts Institute of Technology (MIT) | Although the risk of re-identification from a publicly available is not zero, it is far outweighed by the harm when health data is not shared. No one group is smart enough to understand the biases that exist in health data (AI research = Arrogant & Ignorant). The only way to build artificial intelligence in healthcare is to allow multiple expertise, perspectives and lived experiences to curate and analyze digital health data in an open and fully transparent manner. This is the only way we can gain our patients’ trust, and the only way that AI will deliver equitable benefits. https://news.mit.edu/2022/patient-data-risks-low-1006 |
| 9 | 10.30 – 11 | Morning Teabreak | NA | |
| 10 | 11:00 AM | Emcee Welcome | ||
| 11 | 11 – 11.20 | Harvard | Dr Finale Doshi-Velez | |
| 12 | 11.20 – 12 | Panel | Dr Finale Doshi-Velez Dr Judy Gichoya Dr Anirban Bhattacharyya Dr Barret Rush Moderator: Dr Omar Badawi | Responsible and ethical use of AI |
| 13 | 12 – 12.20 | ASUS: Machine Learning for Healthcare: Solutions and Challenges | Dr Stefan Winkler, Research Director and Acting GM, ASUS AICS Singapore | AI and machine learning have shown tremendous promise across a broad range of applications in medicine. The healthcare environment is becoming increasingly ready to embrace these solutions, which have the potential to lower healthcare costs, identify more effective treatments, and facilitate prevention and early detection of diseases. However, the development of machine learning solutions for healthcare requires paying close attention to the IT ecosystem as well as the clinical workflow. In this talk, we will share recent advances in machine learning, computer vision, and natural language processing that are driving innovation in medicine. We will demonstrate example solutions developed by AICS for patient care as well as hospital operations. Finally, we will discuss challenges and future directions for the successful implementation of machine learning solutions in healthcare. |
| 14 | 12.20 – 1.20 | Lunch Break | NA | |
| 15 | 1.20 PM | Emcee Welcome | ||
| 16 | 1.20 – 1.40 | Huawei: Today’s Digital Healthcare Focus Area | Mr Andy Tan APAC Healthcare Ecosystem Director, Huawei Cloud | AI in healthcare is the future, but which is the priority? Is either lifesaving focus or business first. Through this presentation we will share the healthcare market interest area and explore the AI priority in the ecosystems. |
| 17 | 1.40 – 2 | ST Engineering: The Landscape of AI Use Cases in Healthcare | Dr Clifton Phua Chief Technology Officer, Digital Systems ST Engineering | Healthcare excellence is important to every country, where they strive for equitable healthcare policies, better treatment outcomes for patients, and improved healthcare services and reduced cost. |
| 18 | 2 -2.20 | NSCC | Dr Kenneth Ban Assistant Professor, Department of Biochemistry, National University of Singapore | |
| 19 | 2.20 – 2.40 | Microsoft – AI in Healthcare | Dr Keren Priyadarshini Regional Business Lead, Worldwide Health, Microsoft Asia | Over a decade, I identified many AI use cases in healthcare, and recently categorised them as population health, clinical, operations, and crisis management use cases. I will walk through these categories and sub-categories, and provide details on selected use cases. |
| 20 | 2.40 – 3.10 | Afternoon Tea Break | NA | |
| 21 | 3.10 | Emcee Welcome | In addition, I will share about the types of healthcare AI practitioners and lessons learnt from working with them, as well as a self-compiled list of open source healthcare datasets. | |
| 22 | 3.10 – 3.30 | MSD: Driving Transformation in Healthcare through Emerging Technologies | Ms Priyanka Deva Director, Technology Collaboration and Innovation | |
| 23 | 3.30 – 3.50 | |||
| 24 | 3.50 – 4.10 | Tencent: Bridging Gaps in Healthcare Industry with Tencent Cloud Technology | Ms Li Chan Healthcare Architect, Tencent Cloud | Tencent Cloud has been exploring ways to improve the quality and efficiency of healthcare industry through digital technology and Tencent AI concentrates on the entire process of medical services. Today we want to share about what we have done from disease diagnosis to treatment, including guided consultation, AI pre-diagnosis, AI-assisted diagnosis, and guided medication. |
| 25 | 4.10 – 4.30 | BGI | Mr Liu Wei Bin Vice President and Special Assistant to the Chairman of BGI Group | |
| 25 | 4.30 – 5.20 | Panel | Dr Leo Celi Dr David Pilcher Torleif Lunde, Trixie Tiangco Moderator: Prof Ngiam Kee Yuan | The Risk of Not Sharing Data |
| 26 | 5.20 – 5.30 | Closing remarks by Prof Ngiam and Prof Feng | NA |
