Prof. Kelvin Kam-fai TSOI
蔡錦輝教授

Prof. Kelvin Kam-fai TSOI
BSc, PhD (CUHK)
Associate Professor
kelvintsoi@cuhk.edu.hk

Research Links

Academic Appointments

  1. Associate Professor, JC School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Nov 2019 – present
  2. Associate Professor (by Courtesy), Stanley Ho Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Nov 2019 – present
  3. Associate Professor (by Courtesy), The Jockey Club Institute of Ageing, The University of Chinese University, Nov 2015 – present
  4. Visiting Associate Professor, Lee Kong Chian School of Medicine, Nanyang Technological University, Feb 2022 – present
  5. Visiting Professor, Shenzhen Institutes of Advanced Technology, Shenzhen, China, Jan 2021 – present

Bio

Professor Kelvin Tsoi is an Epidemiologist specialized in Digital Health. His research interests focus on digital innovation in chronic disease management, including mobile and telecare application for hypertension management, technological implementation and social engagement for cognitive screening, artificial intelligent application on electronic health records. He also works as the traditional epidemiologist on evidence-based medicine and population cohort studies.

 

He obtained his Bachler Degree from Department of Statistics and Doctor of Philosophy from School of Public Health in The Chinese University of Hong Kong. He further received post-doctoral training in the Division of Gastroenterology and Hepatology, Department of Medicine and Therapeutics. He was also appointed as a Director of CUHK JC Bowel Cancer Education Centre to promote colorectal cancer screening. In 2011, he worked as a research scientist in Hospital Authority. He led projects covering a wide range of service areas on chronic diseases, such as service demand projection for schizophrenia and dementia. The experience of database management enhanced his understanding of the HA database structures. In 2013, he was invited to join the interdisciplinary team for Big Data research and worked closely with a team of engineers and data scientists. Currently, Professor Tsoi is an Associate Professor in JC School of Public Health and Primary Care, SH big Data Decision Analytics Research Centre and JC Institute of Ageing.

 

Professor Tsoi has published over 150 publications in medical journals and short papers in engineering conferences, recently focusing on blood pressure variability, AI applications in hypertension management, and the impact of lifestyle interventions. His efforts and contributions to interdisciplinary research have earned him awards such as the “IBM Honorarium Award” at the International Conference on System Sciences and “The President’s Prize for Best Paper Presentation” at the Annual Scientific Meeting of the Hong Kong College of Community Medicine in 2017. Additionally, his research projects were supported by the Sustainable Knowledge Transfer Project Fund (SKPF) from the University.

 

In 2019, he set up a social enterprise, DeepHealth Limited, at the Hong Kong Science and Technology Parks to promote artificial intelligent applications of wearable and mobile devices for better health management. His team developed a mobile blood pressure management platform with the application of image recognition techniques, so users can easily collect personal health data through the camera of their smart phones. He believes that healthcare start-ups potentially generate new forms of data for further epidemiological research. As for now, one of the research projects that Professor Tsoi is conducting is related to Seasonal Effect on Blood Pressure Variability.

 

Professor Tsoi is an academic pioneer to encourage interdisciplinary collaboration between medical schools and engineering departments; and further promotes research participation in Digital Health. He worked with his research collaborators from Stanford University, Columbia University, University of Rochester, University of Sydney, University of Leeds, University of Southampton, University of Reading, University of British Columbia, and National University of Singapore to organize the 1st International Symposium on Digital Health (ISDH2019). After the symposium, he was nominated as the Founder of the International Society for Digital Health to promote the interdisciplinary research network. With global vision and professional experience, he also serves as an advisor in the Society for Innovative Healthcare Hong Kong. This is an important action for him to apply his knowledge to serve our community in Hong Kong.

Research Interest

  • Hypertension and Cardiovascular Diseases
  • Cognitive Impairment and Dementia
  • Pharmacological use for Cancer Prevention
  • Personalized Healthcare Management with Digital Solution

Recent Funded Research Projects

  • Resistance Exercise reduces Short-term Blood Pressure Variability: A Meta-analysis of Randomized Controlled Trials
  • HealthCap – Chronic Disease Management Platform in Community Project=
  • Worldwide Universities Network (WUN) – The WUN Data Science Network

Selected Publications

  1. Chan A, Ip R, Tran J, Chan J, Tsoi, K.K. Computerized cognitive training for memory functions in mild cognitive impairment or dementia: a systematic review and meta-analysis[J]. NPJ Digital Medicine, 2024, 7(1): 1.
  2. Li J, Lam A, Yau S, Yiu K, Tsoi, K.K. Antihypertensive treatments and risks of lung cancer: a large population-based cohort study in Hong Kong[J]. BMC cancer, 2021, 21: 1-9.
  3. Chan J, Yau S, Kwok T, Tsoi, K.K. Diagnostic performance of digital cognitive tests for the identification of MCI and dementia: A systematic review[J]. Ageing Research Reviews, 2021, 72: 101506.
  4. Jia P, Lee H, Chan J, Yiu K, Tsoi, K.K. Long-term blood pressure variability increases risks of dementia and cognitive decline: a meta-analysis of longitudinal studies[J]. Hypertension, 2021, 78(4): 996-1004.
  5. Tsoi, K.K, Sung J, Lee H, Yiu K, Fung H, Wong S. The way forward after COVID-19 vaccination: vaccine passports with blockchain to protect personal privacy[J]. BMJ Innovations, 2021, 7(2).
  6. Tsoi, K.K, Yiu K, Lee H, Cheng H, Wang T, Tay J, Teo B, Turana Y, Soenarta A, Sogunuru G, Siddique S, Chia Y, Shin J, Chen C, Wang J, Kario K, HOPE Asia Network. Applications of artificial intelligence for hypertension management[J]. The Journal of Clinical Hypertension, 2021, 23(3): 568-574.
  7. Tsoi, K. K., Chan N, Yiu K, Poon S, Lin B,Ho K. Machine learning clustering for blood pressure variability applied to systolic blood pressure intervention trial (SPRINT) and the Hong Kong community cohort. Hypertension,2020,76(2), 569-576.
  8. Chan J, Chan T, Wong M, Cheung R, Yiu K, Tsoi, K. K. Effects of virtual reality on moods in community older adults. A multicenter randomized controlled trial[J]. International Journal of Geriatric Psychiatry, 2020, 35(8): 926-933.
  9. Tsoi, K. K., Chan, N. B., Chan, F. C., Zhang, L., Lee, A. C., & Meng, H. M. How can we better use Twitter to find a person who got lost due to dementia? NPJ digital medicine, 2018, 1(1), 14.
  10. Tsoi, K. K, Chan J, Hirai H, Wong S, Kwok T. Cognitive tests to detect dementia: a systematic review and meta-analysis[J]. JAMA internal medicine, 2015, 175(9): 1450-1458.