- ZOOM Cloud Meeting
Sponsored and hosted by Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS), The Chinese University of Hong Kong, Shenzhen, and The University of Edinburgh, the ISEAIM 2021 brings together AI and medical experts from the AIRS in Shenzhen and other institutes in the Guangdong Greater Bay Area including Hong Kong and Macao, cosmopolitan cities in China including Beijing, Boao, Chengdu, and Shanghai, international cities in the United Kingdom including Edinburgh, London, and Southampton, and the rest of the world to review the recent advances and nourish substantial collaborations in evidence-based AI and medicine. This symposium will cover virtually all areas of AI and medicine that can apply evidence-based research methods to facilitate the analysis, assessment, and synthesis of new and better evidence for improving healthcare.
ISEAIM 2021 is open to all registrants. For registration:
Wei Tech ANG
Executive Director, Rehabilitation Research Institute, Nanyang Technological University
Data-driven rehabilitation and assistive technology
Prof ANG Wei Tech graduated with a PhD degree in Robotics from the Robotics Institute, Carnegie Mellon University, USA in 2004, and M.Eng. and B.Eng. degrees in Mechanical Engineering from NTU in 1999 and 1997 respectively. He is currently an Associate Professor at the School of Mechanical & Aerospace Engineering, NTU, and concurrently as the Executive Director of the Rehabilitation Research Institute of Singapore, a joint collaboration by NTU, A*STAR and National Healthcare Group.
Prof ANG's research focuses on robotics technology for biomedical applications, which include surgery, cell micromanipulation, rehabilitation and assistive technology. His work has been well funded, published and cited, and resulted in several inventions licensed to the industry and spin-off companies.
Director, West China Hospital, Sichuan University
AI for digital pathology
Bao Ji, Ph.D., Professor, Ph.D Supervisor, the Institute of Clinical Pathology, West China Hospital, Sichuan University. Director of Organoids and Gene Editing Laboratory; Member and secretary of the Digital Pathology and Artificial Intelligence Working Committee of the Pathology Branch of the Chinese Medical Association; Member in the expert database of the National Clinical Research Center for Geriatric Diseases; Member of the Artificial Intelligence and Big Data Committee of the Sichuan Cancer Society; Member of Chengdu High-tech Zone Bioindustry Experts Association; Member of American Society of Transplantation (AST) and European Association for the Study of the Liver (EASL).
Chief Information Officer, Hong Kong Hospital Authority
Topic to be confirmed
Assistant Professor, Department of Automatic Control and Systems Engineering, University of Sheffield
Haptic force estimation of flexible endoscopic surgical robots using deep learning
Senior Health Informatician, Hong Kong Hospital Authority
Landscape of digital health in Hong Kong Hospital Authority
Dr Joyce CHAN currently serves as Senior Health Informatician of Hong Kong Hospital Authority. Her current work focuses on taking the Hospital Authority’s Clinical Management System (CMS) on a generational leap, working with clinicians, executives and patients to embrace innovative IT, improving medication safety for enhanced healthcare service.
Dr CHAN is an emergency physician, fellow of Australasian College of Health Informatics, fellow of Australasian College of Health Service Management.
Associate Professor, Department of Computer and Information Science, University of Macau
XAI early gastric cancer detection using swarm intelligence marker-based watershed segmentation algorithm and evolving graph convolutional network
Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honour BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 500 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, e-health, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the IEEE JSAC Journal, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals. Simon is also an active researcher with leading positions such as Vice-Chair of IEEE Computational Intelligence Society (CIS) Task Force on Business Intelligence & Knowledge Management, Vice-President of Overseas Chinese International Biomedical Engineering Society, and Vice-Director of International Consortium for Optimization and Modelling in Science and Industry (iCOMSI).
Vice President, AIRS
Jianwei Huang is a Presidential Chair Professor and the Associate Dean of the School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen. He is also the Vice President of the Shenzhen Institute of Artificial Intelligence and Robotics for Society. He has been an IEEE Fellow, a Distinguished Lecturer of IEEE Communications Society, and a Web of Science Highly Cited Researcher in Computer Science. He received the PhD degree from Northwestern University (USA) in 2005, worked as a Postdoc Research Associate at Princeton University (USA) during 2005-2007, and worked as Assistant/Associate/Full Professor at the Department of Information Engineering at the Chinese University of Hong Kong during 2007 – 2018.
Dr. Huang has long focused on pioneering research at the intersection of network optimization, network economics and crowd intelligence, and he has published 300+ papers in leading international journals and conferences, with a total Google Scholar citations of 14000+. He is the co-author of 9 Best Paper Awards, including the IEEE Marconi Prize Paper Award in Wireless Communications in 2011. He has co-authored seven books, including the textbook of "Wireless Network Pricing." He received the Chinese University of Hong Kong Young Researcher Award in 2014 and IEEE Communications Society Asia-Pacific Outstanding Young Researcher Award in 2009.
Dr. Huang is currently the Editor-in-Chief of IEEE Transactions on Network Science and Engineering (JCR Q1). He has served as an Associate Editor-in-Chief of IEEE Open Journal of the Communications Society, Associate Editor of IEEE Transactions on Mobile Computing, IEEE/ACM Transactions on Networking, IEEE Transactions on Wireless Communications, IEEE Journal on Selected Areas in Communications - Cognitive Radio Series, and IEEE Transactions on Cognitive Communications and Networking. He has served as an Editor of Wiley Information and Communication Technology Series, Springer Encyclopedia of Wireless Networks, and Springer Handbook of Cognitive Radio. He has served as the Chair of IEEE Communications Society Cognitive Network Technical Committee and Multimedia Communications Technical Committee. He is the recipient of IEEE Communications Society Multimedia Communications Technical Committee Distinguished Service Award in 2015 and IEEE GLOBECOM Outstanding Service Award in 2010.
Co-Founder and Chief Executive Officer, Standigm
AI-driven workflows for drug discovery: technological strategy on best-in-class drugs to first-in-class drugs
May 2015 – Present
CEO & Co-founder
Seoul, South Korea
Jan 2017 - Present
The Korean Society of Medical Informatics
Director of Drug Informatics
Seoul, South Korea
Aug 2012 – Apr 2015
Samsung Advanced Institute of Technology (Samsung Group's R&D hub)
Senior Research Scientist
Suwon, South Korea
Jun 2002 – Apr 2004
Seoul, South Korea
Oct 2000 – May 2002
Seoul, South Korea
2008 - 2012
The University of Edinburgh
PhD, Artificial Intelligence
2005 – 2008
Seoul National University
MSc, Artificial Intelligence
Seoul, South Korea
1995 – 2001
Seoul National University
BSc, Applied Biology and Chemistry
Seoul, South Korea
Associate Professor, Department of Mathematics, University of Macau
Spare representation for medical image classification in quaternion space
Professor Kit Ian Kou, Associate Professor in Department of Mathematics, Faculty of Science and Technology, University of Macau, received the M.Sc. and Ph.D. degree, both in Mathematics, from University of Macau, Macao, China. She is a Life Member of Clare Hall, University of Cambridge, United Kingdom.
Her current research interests include Quaternion Differential Equations, pattern recognition, Quaternion analysis in medical image processing, Fourier analysis and sampling theory. Prof. Kou received the third prize in the Natural Science Award of 2018 Macao Science and Technology Awards.
Deputy Director and Distinguished Professor, Institute of Chinese Medical Sciences, University of Macau
Topic to be confirmed
Senior Systems Manager (AI Systems), Hong Kong Hospital Authority
Deploying AI at scale in HKHA
Mr. Dennis Lee currently serves as the Senior System Manager for Artificial Intelligence Systems of the Hong Kong Hospital Authority. He current work involve developing the Artificial Intelligence and Big Data Platform to streamline data acquisition for facilitating HA data analysis via Business Intelligence, to develop Hospital Command Center dashboards, and solution deployment for Artificial Intelligence. Mr. Lee has also been leading the Corporate Project management office and as program managers for several large scale system implementations.
Research Scientist, Shenzhen Institute of Artificial Intelligence and Robotics for Society; Director, Edinburgh Bayes Centre for AI Research in Shenzhen, University of Edinburgh
Topic to be confirmed
Prof. Siu-wai Leung is a Research Scientist at the Shenzhen Institute of Artificial Intelligence and Robotics for Society (AIRS) and Director of the Edinburgh Bayes Centre for AI Research in Shenzhen (in preparation). He did PhD in artificial intelligence at the University of Edinburgh, under supervision of Prof. David Robertson, and MPhil in biochemistry at the Chinese University of Hong Kong. He was elected Fellow of Royal Society of Biology (a federation comprising major biomedical societies in the UK) and Fellow of Royal Society for Public Health. Before joining the AIRS, he was a PI at the State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, to conduct evidence-based genomics medicine research into early diagnosis and therapy of complex diseases such as diabetes mellitus, cancer, and neurodegenerative diseases. In Macao, he also served as the Vice-President of the Macau Pharmacology Association and the Vice-President of the Computational Pharmacy Society. He was the founding Executive Editor and Editor-in-Chief of Chinese Medicine, a BioMed Central journal, to get the journal indexed by SCI-E and JCR. He was an invited plenary speaker and panelist of the conferences organized by Springer Nature, Committee on Publication Ethics (COPE), and World Congress on Research Integrity (WCRI). Before his PhD study in Edinburgh, he was Acting Head of the Chinese Medicine Informatics Centre at the Hong Kong Baptist University, and Head of Data Processing (China) at Nielsen, the world’s leading market research firm.
Clinical Professor, Affiliated Hospital of the Beijing University of Chinese Medicine
The method and practice of visual analysis of bibliometric data network using R language
Duodou Li is 39 years old, master tutor, deputy chief physician of the Department of Tuina and Pain, Dongzhimen Hospital, Beijing University of Chinese Medicine, Teaching Secretary, Department of Tuina, Dongzhimen Hospital, Beijing University of Chinese Medicine, Department of Tuina Clinic, Beijing University of Chinese Medicine Department secretary. Research directions and key areas: Advanced Algebra and Discrete Mathematics, Computational Mathematics and Mathematical Statistics, Medical Research Methods Related Computer Technology and Artificial Intelligence, Arthritis and Related Diseases Clinical and Mechanism Research of Integrated Traditional Chinese and Western Medicine Intervention. Currently working together with graduate students: complex network visualization technology operation and scientific research output, AI application exploration in integrated Chinese and Western medicine research, Bayesian network Meta analysis, computational statistics and discrete mathematics application, clinical research methodology related research Design, disease and intervention mechanism research (animal experiment).
Director, Happy Life Tech
Introduction to digital clinical trials
Gaoyang Li entered the clinical trial industry for 13 years and served as the Lead of PMO innovation and director of statistical analysis in Happy Life Technology (HLT). Prior to that, he worked in Covance and Bayer Beijing R&D center.
Gao yang is the Lead of the DIA digital health community. He has led the digital health community to organize and host several seminars on the digitalization of medical research and development, the DIA digital clinical trial innovation forum to promote digitalization of clinical trials.
As the editor-in chief, published the Blue Book of < Intelligent Clinical Trials>
As the author and reviewer, participated in the "China Food and Drug Supervision" special issue on the scientific and innovative technology of medical device supervision.
Chief Scientist, AIRS
Professor, Institute of Automation, Chinese Academy of Sciences
Robotic haptic sensing and interaction for surgery
Prof Hongbin Liu is a Professor at Institute of Automation, Chinese Academy of Sciences, and Reader in Medical Robotics at Faculty of Life Sciences & Medicine, King’s College London (KCL) where he is directing the Haptic Mechatronics and Medical Robotics (HaMMeR) Laboratory. Dr. Liu obtained his BEng in 2005 from Northwestern Polytechnical University, China, MSc and PhD in 2006 and 2010 respectively, both from the Division of Engineering, KCL. He is a member of the IEEE, and a Technical Committee Member of IEEE EMBS BioRobotics. He has published over 100 peer-reviewed publications at top international robotic journals and conferences and is inventor for 6 patents. His research has been funded by EPSRC, Innovate UK, NHS Trust and EU Commissions. His current research focuses on developing soft robotic systems for assistive minimally invasive surgical interventions, with strong collaborations from IBM and Ericsson.
Director, Center for Evidence-based Medicine, Beijing University of Chinese Medicine
AI in evidence-based medicine
Jianping Liu is a Professor of Clinical Epidemiology and the Director of the Centre for Evidence-Based Chinese Medicine at the Beijing University of Chinese Medicine. Prof Liu is a Director of Cochrane China Network Affiliate (BUCM), Director of Clinical Epidemiology Unit under INCLEN, and Co-Director of Beijing GRADE Centre. He is an advisor for traditional medicine for the World Health Organization (WHO), and a Chang Jiang Scholar Professor (awarded by the Ministry of Education, China). He has been a part-time Senior Researcher at the National Research Center in Complementary and Alternative Medicine (NAFKAM), at the Arctic University of Norway since 2003, and an Adjunct Professor of the University of Western Sydney. He is the former President of the International Society for Complementary Medicine Research (ISCMR). He is a Member of the Cochrane Complementary Medicine Field Advisory Board and former Chair of the Evidence-based Medicine Committee under the Chinese Association of Integrative Medicine. Dr Liu was awarded more than 30 grants from international, national, and regional bodies for research in TCM and integrative medicine. He has authored 10 books, co-authored 8, and published more than 540 papers in both international and Chinese peer review journals.
Ophthalmologist and Clinical Researcher, University Hospitals Birmingham, University of Birmingham
New reporting standards for AI clinical studies
Dr Xiao Liu is an ophthalmologist and a post-doctoral researcher at the University of Birmingham and University Hospitals Birmingham NHS Foundation Trust. She is interested in clinical evaluation and implementation of AI medical devices to improve patient care safely and effectively. Dr Liu co-led SPIRIT-AI and CONSORT-AI - the first international reporting standards for clinical trials of AI interventions and is working with UK national bodies such as NICE, MHRA and the NIHR/NHSx AI in Health and Care Award, as well as international bodies such as the WHO/ITU Working groups for AI in Health to develop standards for AI in healthcare.
Researcher, Center for Evidence-based Medicine, Beijing University of Chinese Medicine
Status and trends of AI in TCM research
Chunli Lu, Medical (Science) PhD, studying in Centre for Evidence-based Chinese medicine, Beijing University of Chinese medicine. She majors in evidence-based Chinese medicine and won the National Scholarships due to her excellent work. She also won the scholarship for visiting scholar to Southampton University sponsored by China Scholarship Council. She was invited to many international conferences such as Cochrane Colloquium, Lancet-CAMS Health Conference, and International Congress Integrative Medicine & Health, and also awarded for the “Young investigator award”and excellent thesis. She has host 2 projects and participated in more than 10 national projects. She published 28 scientific papers on peer-review journals in both English and Chinese. She also has contributed to Cochrane Collaboration as the manager of Cochrane knowledge translation project in Simplified Chinese translation since 2017 to 2021. She is now serving as the Managing editor for European Journal of Integrative Medicine.
Clinical Professor, West China Hospital, Sichuan Hospital
Clinical assessment of lymph nodes with multi-omics technologies
Xuelei Ma, Clinical Professor, West China Hospital, Sichuan Hospital, Chengdu, China. Visiting scholar, Department of Mathematics, University of California, Los Angeles.Member of Head and Neck Cancer Committee, Precision Radiotherapy Branch, Chinese Society of Biomedical Engineering.Member of the Standing Committee, Cancer Biotherapy Branch, Sichuan Medical Promotion Association.
Dr.Ma is the reviewer of several international journals, including the Associate Editor of Clinical Medicine Insights: Oncology, Editorial Member of Oral Oncology, Editorial Member of Frontiers in Oncology (IF:4.42), Editor-in-Chief and Editorial Board Member of Imaging Journal, Editor-in-Chief of Special Issue of Frontiers in Immuology (IF:5.3) and more than 10 of other international journals.
Dr.Ma has extensive experience in tumor transcriptomics and bioinformatics, as well as in the new methods for tumor diagnosis and the medical application of artificial intelligence recognition technology. He is responsible for 1 national natural science fund, 1 provincial key project, and several departmental funds. Dr.Ma has published more than 140 SCI articles as the corresponding author, including Int J Cancer, Cell Death & Disease, MoL Cancer, Life Science, etc. The articles have been cited more than 3000 times, and several works have been cited by NCCN, Wfumb Guidelines, The EFSUMB Guidelines and other international professional guidelines for more than 10 times.Dr.Ma has applied for more than 10 invention patents (2 have been approved) and more than 10 software patents (6 have been approved). He has also participated in the editing of Medical English Writing (associate editor), Clinical Oncology and other textbooks.
Vice-Principal, University of Edinburgh; Director, Health Data Research UK
Reader, Biomedical AI, University of Edinburgh
Internet of prostheses: A viable approach towards creating evidence
Kia Nazarpour is Reader in Biomedical Artificial Intelligence at School of Informatics, The University of Edinburgh. His research is motivated by the potential of technology to restore function to individuals with disability. He currently leads a team of six research associates and several PhD students. Dr Nazarpour has received circa £8m funding from various sources and currently has active projects funded by EPSRC, NIHR, EU H2020, and ESRC, including an EPSRC Healthcare Technology Challenge Award, (£1m, 2018-2023). He has authored over 150 peer-reviewed articles. His research is broadly disseminated across science and technology hubs, as indicated by +50 talk invitations. His work has received many awards, including the
UNESCO Netexplo 2018 award with citation “one of the most promising digital innovations with impact on society and business”. He is Founding Director of Edinburgh Neuroprosthetics Laboratory.
Director, Global eHealth, University of Edinburgh
Balancing hype and reality in medical AI. What Evidence-Based Medicine has to offer for a useful, sustainable and fair digital health future
Claudia Pagliari PhD, FRCPE is an interdisciplinary researcher in digital health, public health and health technology assessment. She has over 20 years’ experience working at the intersection of research, evaluation, design and policy around emerging innovations, from analogue technologies such as clinical guidelines, to digital ones such as telehealth, electronic health records, robotics, consumer genetics, social media analytics and artificial intelligence. She is a World Health Organization Technical Expert in Digital Health, a founder and theme leader of the NHS Digital Academy and Chair of the National Expert Group in Digital Ethics for Scotland. During the pandemic she has been called upon to advise the Scottish Government on its Data Intelligence infrastructure programme, its strategy for contact tracing apps and vaccination passports, and its national identity initiative.
Senior Vice-President & Chief Information Officer, Tongshu Gene
AI-empowered cancer molecular diagnosis
Xueping Quan, Senior VP and CIO of Shanghai Tongshu Biotechnology Ltd. With a PhD degree and postdoctoral experiences from the University of Edinburgh, King’s College London, and the Imperial College London, she focus on the innovation and application of bioinformatics and artificial intelligence techniques in the field of precision medicine and translational medicine. Dr Quan has been involved in the management and implementation of six China National Key R&D R&D Program during the 13th Five-year Plan Period, and was awarded as 2018 ZhongGuanCun High Level Talent.
Vice-Principal, University of Edinburgh; Director, Health Data Research UK (Scotland)
Prof. Dave Robertson holds a Personal Chair in Applied Logic within the School of Informatics at the University of Edinburgh. He is also a Vice Principal (Pro VC) and Head of the University’s College of Science & Engineering. Prior to this he was Head of School of Informatics at Edinburgh, which is the largest UK computing science department in the UK in terms of research power. His computing research is on Artificial Intelligence, specialising in formal methods for coordination and knowledge sharing between (human/artificial) agents in distributed systems where a high degree of autonomy is expected in the components of the underlying system. This is one of the enablers for AI at large scale. Methods from his group have been applied to astronomy, simulation of consumer behaviour, emergency response and healthcare. He was a member of the Farr Institute for medical data sharing and was co-director of the Centre for Medical Informatics at the University of Edinburgh. He is currently a co-director of the Edinburgh node of Health Data Research UK. He chaired the executive of the UK Computing Research Committee (the expert panel of the British Computer Society and the Institution of Engineering and Technology) and has served on strategic advisory groups for the UK's Engineering and Physical Sciences Research Council, the Medical Research Council and Innovate UK. He is a member of the governance board for the Scottish Innovation Centre in Data Science and was on the supervisory board for EIT Digital (a leading European digital innovation and entrepreneurial education organisation) and is a Fellow of the European Alliance for Innovation.
Director and Reader, Biomedical AI, University of Edinburgh
Modelling patient networks in autism spectrum disorder
Dr Ian Simpson is a Reader in Biological Informatics. Originally trained in Biochemistry & Genetics he has spent over 20 years studying brain development and function at the molecular level. He has developed novel methodologies and tools to analyse developmental expression data using graphical, dynamic, and evolutionary models. His main research interests lie at the boundary between Informatics and Biomedicine and focus on jointly modelling molecular and clinical data in diseases with developmental origins such as autism spectrum disorder. He was elected a member of the RSE Young Academy of Scotland in 2014.
Vice-Director, Research Center on Healthcare Robotics (Planned), AIRS
Towards autonomous ultrasound scanning based on clinical protocols
Associate Professor, Usher Institute, University of Edinburgh
Capitalizing on wearable sensors and smartwatches to assess physical activity, sleep, and circadian variability: applications in healthcare monitoring
Dr Athanasios Tsanas ('Thanasis'), BSc, BEng, MSc, DPhil (Oxon), SMIEEE, FHEA, FRSM
Thanasis studied Engineering and completed a PhD in Applied Mathematics at the University of Oxford (2012). He worked at the University of Oxford as a Research Fellow in Biomedical Engineering and Applied Mathematics (2012-2016), Stipendiary Lecturer in Engineering Science (2014-2016), and Lecturer in Statistical Research Methods (2016-2019). He is currently an Associate Professor in Data Science at the Usher Institute, Edinburgh Medical School, University of Edinburgh, where he leads the Data Analytics Research and Technology in Healthcare (DARTH) group and is a Co-Director of the Telescot group. He is a Co-founder of the NHS Digital Academy leadership programme, where he leads the development and delivery of 'Clinical Decision Support and Actionable Data Analytics'. He received the Andrew Goudie award (top PhD student across all disciplines, St. Cross College, University of Oxford, 2011), the EPSRC Doctoral Prize award (2012), the young scientist award (MAVEBA, 2013), the EPSRC Statistics and Machine Learning award (2015), and the BIOSTEC/Biosignals Best paper award (2021). He won a ‘Best reviewer award’ from the IEEE Journal of Biomedical Health Informatics, and the ‘Outstanding Reviewer’ award from the journal Computers in Biology and Medicine. He sits on the Editorial Boards of JMIR Mental Health; JMIR mHealth and uHealth; and Frontiers in Neurology. His research work has been highlighted in the media including Reuters, and has been commercially explored by industrial partners including by Intel Corporation. Thanasis is a Senior Member of IEEE, a Fellow of the Higher Education Academy, and a Fellow of the Royal Society of Medicine.
Manager, AI Laboratory, Hong Kong Hospital Authority
AI collaboration with ecosystem
Dr. TSOUGENIS Efstratios, a full-stack A.I. Manager, has spent more than 10 years in AI Market holding positions in Engineering, Consultancy, Business and Academia. Due to his multi-nature background, he loves bridging the gap between A.I. Engineers, C-level and Academics, embracing innovation and agile transformation. Efstratios currently serves as Manager of the A.I. Lab & the Data Collaboration Lab in Hong Kong Hospital Authority leading the development of multiple deep learning projects. In addition, Efstratios serves as a Honorary Lecturer for HKU Medicine School and PolyU, while maintaining an active role in the international A.I. community as a Speaker and Mentor.
Professor, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong
Topic to be confirmed
Professor, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong
Detection of colorectal adenoma based on non-invasive biomakers
Professor Martin C. S. Wong is a specialist in Family Medicine and a researcher in the field of cancer screening and prevention of chronic diseases. Professor Wong has composed over three hundred publications in international peer-reviewed journals, and received over 15 research awards for studies in his research area, including the prestigious “1st Distinguished Research Making Family Medicine Shine Award” by the World Organization of Family Doctors in 2018. He is the Co-Chair of the NCD stream of APRU Global Health Programme; Co-Chairman of the Grant Review Board, Health and Medical Research Fund, Food and Health Bureau (FHB); the Chairman of the Advisory Group on Hong Kong Reference Frameworks in Primary Care Settings; a member of the Expert Advisory Panel in Implementation Science of the HKSAR government, and a member of the Research Council of the FHB. He is a reviewer of the Medical Research Council (MRC), United Kingdom; expert reviewer of the National Medical Research Council (NMRC), Singapore; external examiners of doctoral thesis in various Universities; and an external reviewer of the Public Policy Research Funding Scheme, Research Grant Council (RGC) of Hong Kong. His enthusiasm to teaching has been well received by students and has been selected for the “Master Teacher” and the “Annual Teacher of the Year Award” for seven years. He was appointed as the Editor-in-Chief of the HKMJ of the Hong Kong Academy of Medicine in 2017; and Fellows of various Academies, Royal Colleges and professional societies. He was appointed as an Adjunct Professor of the Peking Union Medical College in March 2019; and Adjunct Professor of Global Health by the Peking University.
Associate Professor, Institute of Health Informatics, University College London
Derive insights from health data using knowledge graph technologies
Dr Honghan Wu is an associate professor in health informatics at Institute of Health Informatics, University College London, UK and holds a Rutherford Fellowship funded by Medical Research Council UK. Dr Wu leads a health informatics group (https://knowlab.github.io/). He co-founded and co-leads Edinburgh Clinical Natural Language Processing Group (https://www.ed.ac.uk/usher/clinical-natural-language-processing). He has a PhD in computing science and his current research interest is in using text technologies and Knowledge Graph techniques to analyse electronic health records (EHRs) to support decision making for tailored care, trial recruitment and research.
Dr Wu works closely with National Health Service Trusts (England) and Health Boards (Scotland) across the UK to use artificial intelligence technologies in supporting research and health service improvement. Teaming up with clinicians and other health professionals, he is applying above-mentioned technologies in tackling challenges in managing and treating mental disorders, diabetes, and cardiovascular diseases. Recently, he focuses on clusters of diseases (multimorbidity), particularly in elderlies.
Jeremy C WYATT
Emeritus Professor of Digital Healthcare and former Director, Wessex Institute, University of Southampton
How can the global “Mobilising Computable Biomedical Knowledge” (MCBK) movement support evidence-based medicine?
Until 2019 Jeremy was Professor of Digital Healthcare, Director of the Wessex Institute, and Clinical Adviser on New Technologies to Royal College of Physicians. He now chairs the AI Special Interest Group for the UK Faculty of Clinical Informatics, advises the NHSX AI Lab on evaluation methods and is a member of Medicines & Healthcare Regulatory Authority’s Devices Expert Advisory Committee. His research uses empirical studies to uncover scientific principles guiding the design of clinical information and eHealth systems, such as interactive tools to influence behaviour of clinician (eg. decision support), patients (eg. apps) and the public, and digital tools to support health research.
Jeremy trained in medicine in Oxford and London and as a hospital physician there & Glasgow (MRCP 1983). During doctoral training at the National Heart & Lung Institute and an MRC-funded postdoc at Stanford he discovered medical informatics and technology assessment. He is a Founding Member of the International Academy of Health Sciences Informatics (2017) and was the UK’s first elected Fellow of the American College of Medical Informatics (1997) and has given 40 invited overseas talks in the last decade.
Jeremy was an early convert to EBM, writing the 1991 Lancet articles on medical knowledge that prompted the June 1992 McMaster meeting which established the Cochrane Collaboration. He also set up Cochrane’s Effective Practice & Organization of Care review group in 1994. He has written three textbooks on evaluation methods and eHealth, five series of tutorial articles for medical journals and over 200 articles.
In his spare time he makes jewelry and commemorative objects in titanium, see: https://www.acj.org.uk/index.php/cb-profile/jcwyatt
Founder and Chief Executive Officer, ProtoDNA
The 4th generation Nanopore® sequencing platform development and application of pathogen accurate detection
As a senior (professor level) engineer, he studied with academician of Royal Academy of Engineering of UK and obtained doctor's degree and postdoctoral degree in the field of bioinformatics and machine learning. He is a senior research scientist of Roslin Institute, University of Edinburgh, the birthplace of the first clone sheep in the world ‘Dolly’. He was youth Principal Investigator, awarded the title of "SULSA LEADERS" by Royal Academy of Sciences of Scotland and was once a chief scientist and senior executive of world top 500 enterprises. And undertook and participated in a number of national key R & D programs.
In 2019, Dr. Le Yu founded Beijing ProtoDNA Genetech Co. Ltd., which developed a new infectious pathogen diagnosis integrated detection platform and data service system. This two-dimensional pathogen real-time accurate detection, is of great significance for clinical diagnosis and treatment of infectious diseases. He has been awarded the title of "overseas high-level talents" in Beijing and class A leading talents in Suzhou and Foshan, published SCI articles and registered more than 100 intellectual property rights.
Other roles in academic and industry organizations:
Executive Director of Health Communication Division, Chinese Health Association
General Secretary of Medical Communication Professional Committee, Chinese Research Hospital Association
Director of Hospital Logistics Management Development, National Health Industry Enterprise Management Association
Deputy Director of Big Data Research Base of Cell and Gene Engineering, Chinese Association Geriatric Research
Director of Intelligent Equipment Technology, China Association of Medical Equipment
Director, Office of Research and Knowledge Transfer Services; Professor, Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong
Topic to be confirmed
Clinical Professor, Zhongshan Hospital Affiliated with Fudan University; Visiting Consultant Doctor, Kiang Wu Hospital
Topic to be confirmed
|Time (China)||Session||Session chair|
1. AI in evidence-based medicine
2. AI and data science in public health
3. AI and medical imaging
1. Jianping LIU, BUCM
2. Martin WONG, CUHK3. Simon LEE, UM
4. AI at Hong Kong Hospital Authority
5. AI and healthcare robotics
6. AI in diabetes and cancer medicine
7. AI startups for medicine
8. AI and data science in healthcare9. Evidence-based medical AI
4. Kevin CAI, HKHA
5. Zhenglong SUN, AIRS
6. IDC, Hainan
7. Xueping QUAN, TSG
8. Ian SIMPSON, UoE9. Claudia PAGLIARI, UoE
(Keynote and panel session)
|10. Consortium on evidence-based AI and medicine||10. David ROBERTSON, UoE|
Session 1 - AI in evidence-based medicine
|10:00-10:10||1.0 Welcome speech||Chair|
|10:10-10:40||1.1 Status and trends of AI in TCM research||Jianping LIU and Chunli LU, BUCM|
|10:40-11:10||1.2 The method and practice of visual analysis of bibliometric data network using R language||Duoduo LI, BUCM|
|11:10-11:40||1.3 Introduction to digital clinical trials||Gaoyang LI, Happy Life Tech|
Session 2 - AI and data science in public health
|10:00-10:10||2.0 Welcome speech||Chair|
|10:10-10:40||2.1 Advanced retinal image analysis (ARIA) in the detection of stroke & dementia risk||
Benny ZEE, CUHK
|10:40-11:10||2.2 Characterization of mutation pattern by statistical learning with applications in influenza virus||Maggie WANG, CUHK|
|11:10-11:40||2.3 Detection of colorectal adenoma based on non-invasive biomarkers||Martin WONG, CUHK|
Session 3 - AI and medical imaging
|10:00-10:10||3.0 Welcome speech||Chair|
|10:10-10:40||3.1 Application of artificial intelligence technology in diagnosis and treatment with upper gastrointestinal endoscopy (Chinese)||
Yunshi ZHONG, ZSH@FU & KWH
|10:40-11:10||3.2 XAI early gastric cancer detection using swarm intelligence marker-based watershed segmentation algorithm and evolving graph convolutional network||Maggie WANG, CUHK|
|11:10-11:40||3.3 Spare representation for medical image classification in quaternion space||Anna KOU, UM|
Session 4 - AI at Hong Kong Hospital Authority
|14:30-14:40||4.0 Welcome speech||Chair|
|14:40-15:10||4.1 Landscape of digital health in Hong Kong Hospital Authority||
Joyce CHAN, HKHA
|15:10-15:40||4.2 Deploying AI at scale in HKHA||Dennis LEE, HKHA|
|15:40-16:10||4.3 AI Collaboration with ecosystem||Efstratios TSOUGENIS, HKHA|
Session 5 - AI and healthcare robotics
|14:30-14:40||5.0 Welcome speech||Chair|
|14:40-15:10||5.1 Data-driven rehabilitation and assistive technology||
Wei Tech ANG, NTU
|15:10-15:40||5.2 Robotic haptic sensing and interaction for surgery||Hongbin LIU, CAS & KCL|
|15:40-16:10||5.3 Haptic force estimation of flexible endoscopic surgical robots using deep learning||Lin CAO, UoS|
|16:10-16:40||5.4 Towards autonomous ultrasound scanning based on clinical protocols||Zhenglong SUN, AIRS|
Session 6 - AI in diabetes and cancer medicine
|14:30-14:40||6.0 Welcome speech||Chair|
|14:40-15:10||6.1 Technology use in diabetes management||
Pei Chen SUN, IDC
|15:10-15:40||6.2 Application of artificial intelligence in the field of diabetes diagnosis and treatment||Jiemin Pan, HODH|
|15:40-16:10||6.3 AI for digital pathology||
Ji BAO, WCH@SU
|16:10-16:40||6.4 Clinical assessment of lymph nodes with multi-omics technologies||
Xuelei MA, WCH@SU
Session 7 - AI startups for medicine
|14:30-14:40||7.0 Welcome speech||Chair|
|14:40-15:10||7.1 AI-driven workflows for drug discovery: technological strategy on best-in-class drugs to first-in-class drugs||Jinhan KIM, Standigm|
|15:10-15:40||7.2 The 4th generation Nanopore® sequencing platform development and application of pathogen accurate detection||
Le YU, ProtoDNA
|15:40-16:10||7.3 AI-empowered cancer molecular diagnosis||
Xueping QUAN, Tongshu Gene
Session 8 - AI and data science in healthcare
|14:30-14:40||8.0 Welcome speech||Chair|
|14:40-15:10||8.1 Derive insights from health data using knowledge graph technologies||
Honghan WU, UCL
|15:10-15:40||8.2 Capitalizing on wearable sensors and smartwatches to assess physical activity, sleep, and circadian variability: applications in healthcare monitoring||
Thanasis TSANAS, UoE
|15:40-16:10||8.3 Internet of prostheses: a viable approach towards creating evidence||
Kia NAZARPOUR, UoE
|16:10-16:40||8.4 Modelling patient networks in autism spectrum disorder||
Ian SIMPSON, UoE
Session 9 - Evidence-based medical AI
|14:30-14:40||9.0 Welcome speech||Chair|
|14:40-15:10||9.1 Balancing Hype and Reality in Medical AI: What Evidence-based Medicine has to offer||
Claudia PAGLIARI, UoE
|15:10-15:40||9.2 How can the global "Mobilising Computable Biomedical Knowledge" (MCBK) movement support evidence-based medicine?||Jeremy C WYATT, Soton|
|15:40-16:10||9.3 New reporting standards for AI clinical studies||Xiao LIU, UoB|
Session 10 - Consortium on evidence-based research into AI and medicine
|Keynote speech||Shipeng LI, AIRS|
Jianwei HUANG, AIRS
|19:30-19:50||Keynote speech: Evidence based AI in perioperative care||
Davy CHENG, CUHK-shenzhen
Anthony C. CHANG, CHOC
|20:15-21:05||Keynote speech: Healthcare data science at national scale||
Andrew MORRIS, UoE
David ROBERTSON, UoE
Chair: David ROBERTSON, UoE