Guest of HonourAssociate Professor Leo Anthony Celi
Clinical Director, Lab for Computational Physiology MIT
AI in Healthcare will Fail without Data SharingLive
10.10 am - 10.30 am
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.
Dr. Finale Doshi-Velez
Finale Doshi-Velez is a Gordon McKay Professor in Computer Science at the Harvard Paulson School of Engineering and Applied Sciences. She completed her MSc from the University of Cambridge as a Marshall Scholar, her PhD from MIT, and her postdoc at Harvard Medical School. Her interests lie at the intersection of machine learning, healthcare, and interpretability.
BECA recipient, AFOSR YIP and NSF CAREER recipient; Sloan Fellow; IEEE AI Top 10 to Watch
Health & Life Sciences Solution Architect, Intel Corporation
Advancing Health & Life Sciences Innovation with Data-Driven Analysis
9.30am – 9.50am
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 Bio: Wendy Bohner is a Global Solution Architect for Healthcare at Intel. With over 18 years of experience in healthcare information management systems, she works with providers and payers and industry partners around the world on the development, implementation, and scaling of end-to-end healthcare solutions. Ms. Bohner advises Intel customers and partners on creating healthcare solutions that run on secure, reliable, and scalable architectures. She is a certified as a solution architect for Azure and AWS. In her previous role at Intel, she formulated Security, Application Identity and API Management solutions. Prior to joining Intel, Ms. Bohner was a Lead System Designer working on the development of interoperable medical record system components for GE Healthcare. She has been granted 3 patents in the areas of healthcare interoperability and data correlation. Wendy received her BS in Operations Research from Gies College of Business at the University of Illinois at Urbana–Champaign.
Dr. Clifton Phua
Chief Technology Officer, Digital Systems
The Landscape of AI Use Cases in Healthcare
Presentation timing: 13.40pm – 14.00pm
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. 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. 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.
Dr Stefan Winkler
Research Director and Acting GM, ASUS AICS Singapore
Machine Learning for Healthcare: Solutions and Challenges
Presentation timing: 11.40am – 12.00pm
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.
Fatma Feyza Seyrek
Developer Technical Support Expert / Huawei Technologies Co., Ltd.
HPC/AI Technical Consultant
Completed his Bachelor of Engineering from Bangalore University and Master of Engineering from IISC, Bangalore. With over 26yrs of work experience, he started his career as Design Engineer at Texas Instruments, and later worked in Xilinx, Intel, etc. Presently he is working on Deep Learning and Machine Learning application development with focus on computation and performance. Strong working experience in various aspects of Chip Design from Concept to Implementation. Dabbled in various aspects of Modern Verification Techniques, Logic Design and Architectures. Various aspects of Hardware – Software interaction and trade-offs. High Performance Computing / Parallel Programming.
Jason Tamara Widjaja
Director of Artificial Intelligence and Responsible AI Lead, MSD International GmbH (Singapore)
Jason believes in working towards a better world through data and AI. A multi-disciplinary technology leader, Jason leads large and diverse artificial intelligence teams focused on AI technologies and products, including NLP, chatbots and virtual assistants, computer vision and machine learning. The team also includes an AI ethics and governance group focused on embedding the responsible use of AI in the company. A recognized thought leader, Jason has spoken in major international conferences and has been featured in the Business Times, TODAY and the Sydney Morning Herald. He actively contributes to multiple national initiatives including Singapore’s skills framework for data careers, Singapore’s AI Governance Framework, and is an author of Singapore’s AI Ethics Body of Knowledge. Jason spent half his career in Australia before relocating back to Singapore in 2016. Since then, he has been active in the local start-up ecosystem, as a co-founder of Lauretta.io with his brother Galvin, and a mentor to AI startups in partnership with local venture capital firms in Singapore, and as the vice president of the AI & Robotics chapter of the Singapore Computer Society. Jason was on the Melbourne Business School Dean’s List for his MBA in 2010 and graduated from the same university with a second master’s in Business Analytics in 2015. He also holds a bachelor’s degree in Computing from the National University of Singapore and a first-class honours’ in Business Information Systems and Human Resources Management from Middlesex University. In 2022, Jason was one of only two professionals to attain the highest level of the Certified AI Ethics and Governance (Expert) professional accreditation.
Global Head of Experience Design and Engagement,
MSD International GmbH (Singapore Branch)
When computer companies entered into the music world, they changed the entire music industry. When they tap into mobile world, we lost two giant mobile companies Nokia and BlackBerry, when they enter in wearables, watch companies are experiencing dark clouds. Now they are entering in Automobile and Healthcare and few Spartans are trying to save these industries, Pranav is one of them. Pranav has been serving highly innovative digital solutions segment through the acquisition of new target accounts and current clients, since last 15+ years. From identifying strategic growth opportunities in the marketplace to providing direction and insight on key macro-trends in the new media sector, and diving in new digital solutions services is what Pranav is known for. Pranav has provided creative solutions to fortune 500 clients like Google, IDC, HP, SIM, Knight Frank, Panasonic, Harvey Norman, Sony Mobile, Singtel, Singapore Airlines, Tera Data, Oracle. Building a bridge between start-up companies to potential market segment and creating brand awareness with a cross-channel partnership. In MSD Pharma, Pranav is serving creative solutions as a UX Lead.
Dr Mona Flores
Global Head of Medical AI at NVIDIA
Dr. Mona G. Flores is the global head of medical AI at NVIDIA, where she oversees NVIDIA’s AI initiatives in medicine and healthcare to bridge the chasm between technology and medicine.Dr. Flores first joined NVIDIA in 2018 with a focus on developing the healthcare ecosystem. Before joining NVIDIA, she served as the chief medical officer of digital health company Human-Resolution Technologies after a 25 + year career in medicine and cardiothoracic surgery. She received her medical degree from Oregon Health and Science University followed by a general surgery residency at the University of California at San Diego, a Postdoctoral Fellowship at Stanford, and a cardiothoracic surgery residency and fellowship at Columbia University in New York. Dr. Flores also has a MasterofBiology from San Jose State and early in her career received an MBA from the University at Albany School of Business. She initially worked in investment banking for a few years before pursuing her passion for medicine and technology.
Dr. Pedro Jing Tsong Teh
Senior Field Application Scientist, BGI Research
Dr. Liang Wu
Scientist, Institute of Precision Health, BGI Research
Head of the CNGBdb Big Data Platform
Dr. Weiwen Wang
Senior Bioinformatics, BGI Research
Dr Asad Abu Bakar Ali
Director & Singapore Site Lead, Biomarker & Target Sciences (Imaging)
Translational Medicine Research Centre, Singapore
Asad is currently a Director & Singapore Site Lead within the Biomarker & Target Sciences (Imaging) department. Asad is deeply interested in embedding and leveraging novel technologies and advanced data analytics to accelerate innovation for better healthcare tomorrow. In Asad’s current role, Asad leads a group of biomarker scientists at MSD. His team is focused on developing, qualifying, and deploying biomarkers for multiple disease areas, including cardiovascular, metabolic, ophthalmological, and neurodegenerative diseases. Primary in vivo imaging modalities of our interests are MRI, PET, OCT, and CT. Asad also leads internal and regional external collaborations and involved in designing and executing clinical and preclinical proof-of-concept studies to establish pharmacodynamic efficacy of novel experimental therapeutics.
APAC Healthcare Ecosystem Director, Huawei Cloud
17 years of big scale global ICT/Cloud experience, 11 years healthcare solution localization at APAC region, heavily involved in business sustainability planning, GTM execution and operation.
Dr Keren Priyadarshini
Regional Business Lead, Worldwide Health, Microsoft Asia
As Regional Business Lead of Worldwide Health for Microsoft Asia, Dr. Keren Priyadarshini leads the company’s healthcare business segment across 17 markets in Asia Pacific. Dr. Priyadarshini is responsible for driving and implementing Microsoft’s healthcare initiatives across the region as well as developing solution offerings and strategies that meet the needs of healthcare and life science customers. She also plays a leading role in establishing thought leadership by defining and articulating the company’s vision for the future of healthcare and sharing how Microsoft technologies and partner solutions are making it a reality. Dr. Priyadarshini is passionate about empowering providers, payors, and life science companies with the right technology to enable better patient outcomes at lower costs. Improving the quality of healthcare through digital transformation, enabling wider access to healthcare as life expectancy increases, and keeping rising costs in check are issues that keep her awake at night. Her desire is to create a world of ‘Intelligent Healthcare’ through AI and the cloud, to unlock biological insight and break data from silos for a truly personal understanding of human health and in turn, enable better access to care, lower costs and improved outcomes.
Director of Technology Collaboration and Innovation
Singapore IT Hub, MSD
Priyanka Deva is a global Technical Leader driving transformation at the intersection of business and technology for past 2 decades. Prior to joining MSD, Priyanka was the Senior Technical Staff Member at IBM. In her technical career journey of 16 years with IBM, Priyanka has held several leadership positions at IBM in the areas of Data, Analytics, Automation, Technology Innovation Lab and Software Development. She was the innovator and technical leader for the first Cognitive Solution for IBM’s Supply Chain using A.I technologies which was recognized as Industry’s first by Manufacturing Leadership Council in the area of Analytics and AI.
Dr Kenneth Ban
Programme Director (Health / Biomedical and Life Sciences), National Supercomputing Centre (NSCC)
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 at the Institute of Molecular and Cell Biology (IMCB) Singapore before joining NUS Medicine. He currently serves as the Phase I Director, overseeing the implementation of the medical sciences curriculum for first-year medical students. He also serves as the Director of the NUS Medicine Bioinformatics Core Facility and the Program Director for Health/Biomedical Sciences at the National Supercomputing Centre Singapore (NSCC).
Founder and CEO,
Cancer Care Registry and Research Philippines
Adjunct Assistant Professor,
University of Maryland School of Pharmacy
Expertise in clinical product innovation and research- bridging product management, real-world evidence, epidemiology and design of clinical decision support tools (with and without AI/ML). Currently leading data and analytics at Trial Library, a public benefit company committed to improving access to cancer precision medicine. Over 15 years of experience in research and product development of telemedicine-based solutions to support population management of patients across the spectrum of care. Extensive research expertise in large clinical databases and secondary use of electronic medical record data for comparative effectiveness research and development of ML based predictive models and clinical decision support tools. Product Management experience engaging with customers and key stakeholders to develop product roadmap and bring ideas to market using Agile, Scrum and Waterfall software development and research processes. Peer reviewer for numerous journals such as: Critical Care Medicine, Journal of the American Medical Informatics Association, Big Data, Critical Care, and Nature Biomedical Engineering.
Mui van Zandt
Real World Data & Technology at IQVIA
Mui Van Zandt is VP/GM, Real World Data & Technology at IQVIA where she is leading efforts to utilize real world data and technology to better understand a patient’s medical journey. Mui’s background is in software development, data management, and data standardization. Mui has extensive knowledge working on large patient databases globally using different technology/architecture designs to standardize into the OMOP CDM, the standard vocabularies, and ensuring data of high quality. Mui also serves as the leader of OHDSI (Observational Health Data Science and Informatics) Asia Pacific community where she drives strategic objectives across the APAC region.
ICU Specialist & Deputy CMIO
Northern Health Melbourne
Sing Chee is an Intensive Care Specialist and Certified Health Informatician working in Melbourne Australia. He has an international perspective on critical care, having worked and trained in both Australia and Singapore. He is passionate about improving critical care outcomes through systems enhancements and has been extensively involved in policy development at local, national, and international levels. He has a particular interest in the application of digital solutions to the critical care environment, providing a unique blend of clinical expertise and technical knowledge of health data, having completed his Masters in Clinical Epidemiology as well as postgraduate training in data analytics.
Adjunct Clinical Professor
Intensive Care Alfred Health & Monash University
David is an Intensive Care Specialist at The Alfred Hospital in Melbourne. He trained in respiratory and general medicine in the UK before moving to Australia in 2002 to undertake training in Intensive Care Medicine. His interests include organ donation, lung transplantation, ECMO, severity adjustment of ICU outcomes, ICU performance monitoring and the epidemiology of Intensive Care medicine. He is the Chairman of the Australian and New Zealand Intensive Care Society (ANZICS) Centre for Outcome and Resource Evaluation (CORE) which runs the bi-National critical care registries. He is a medical advisor to DonateLife in Victoria. He is also an Adjunct Clinical Professor with the Department of Epidemiology and Preventive Medicine at Monash University.
Department of Radiology
Emory University School of Medicine
is a multidisciplinary researcher, trained as both an informatician and a clinically active radiologist. She is an assistant professor at Emory university, and works in Interventional Radiology and Informatics. She has been funded through the Grand Challenges Canada, NBIB and NSF ECCS. Her career focus is on validating machine learning models for health in real clinical settings, exploring explainability, fairness, and a specific focus on how algorithms fail. She has worked on the curation of datasets for the SIIM (Society for Imaging Informatics in Medicine) hackathon and ML committee. She volunteers on the ACR and RSNA machine learning committees to support the AI ecosystem to advance development and use of AI in medicine. She is currently working on the sociotechnical context for AI explainability for radiology, especially the dimensions of human factors that govern user perceptions and preferences of XAI systems.
Assistant Professor of Critical Care
University of Manitoba, Winnipeg Canada
A native of Vancouver, B.C., Dr. Rush spent many childhood summers in Sandy Lake Manitoba where his mother’s family originated. After completion of medical school at the University of Washington in Seattle, he pursued internal medicine and critical care training at the University of British Columbia in Vancouver, B.C. Subsequently he obtained an Master of Public Health at the Harvard School of Public Health and completed a research fellowship in Big Data analysis at the Massachusetts Institute of Technology with Dr. Leo Celi. Excited to return to his roots he joined the faculty at the University of Manitoba in 2019.
Torleif Markussen Lunde
Eitri Medical Incubator
Torleif is the Managing Director of new Innovation Centre for Health i Bergen. He helps startups, researchers and students with ambitions to create innovative, ambitions and scalable solutions to have a major impact on improving human health. He is passionate about people and artificial intelligence, life-long learning and dialogue accross disciplines and cultures.
Academical Clinical Fellow
National Heart and Lung Institute, Imperial College London
Ronald Reagan UCLA Medical Center
Joseph Byers RRT
Beth Israel Deaconess Medical Center, Boston, MA, USA
Senior Associate Consultant
Critical Care Mayo Clinic Jacksonville FL
Partner Development, Director, Huawei Cloud APAC
16 years of experience in ICT and Cloud, specialized in IT solutions for telecom and healthcare industry. Prior to join Huawei, I was the senior solution architect in IHIS in charge of Singapore National healthcare projects driven by MOH.
Vice President and Special Assistant to the Chairman of BGI Group
Mr. Weibin Liu is Vice President & Special Assistant to the Chairman of BGI Group. In his role at BGI, Weibin leads international spatial biology and population genomics initiatives, as well as other key Group-level special missions. In addition to his work at BGI, Weibin is also one of the key organizers of the SpatioTemporal Omics Consortium (STOC). Prior to BGI, Weibin was a life science venture capitalist at Kleiner Perkins, and led international corporate development at Kindstar as well as business operations at WuXi NextCODE. Weibin earned both his B.S. in Molecular Biology and M.S. in Biotechnology from the Johns Hopkins University.