CityUHK Institute of Digital Medicine
The Institute of Digital Medicine (IDM) is dedicated to advancing healthcare through digital innovation, leveraging CityUHK’s strengths in engineering, data science, and life sciences. Established in response to the growing demand for digital healthcare solutions, IDM serves as a hub for interdisciplinary research and collaboration with leading global institutions and industry partners.
Mission
IDM is committed to driving breakthroughs in digital medicine by collaborating with global institutions and industry partners to enhance healthcare solutions worldwide:
- Engaging in cutting-edge research in digital health technologies, including artificial intelligence, wearable and big data analytics, to support clinicians and improve healthcare quality and patient outcomes.
- Building strategic partnerships with renowned universities and industry innovators to foster knowledge exchange and research collaboration.
- Promoting the commercialisation of research outputs to deliver tangible digital health solutions that address real-world challenges.
Research Clusters
To focus its efforts on key areas of digital medicine, IDM has formed three core research clusters:
- Biomarkers, Diagnostics, and Therapeutics
Led by Professor ZHANG Yong, Head of the Department of Biomedical Engineering and Chair Professor of Biomedical Engineering, and Professor YIN Huiyong, Associate Dean (Research) of the Jockey Club College of Veterinary Medicine and Life Sciences and Professor in the Department of Biomedical Sciences. This cluster focuses on advancing precision diagnostics and innovative therapeutics to enhance disease prevention, diagnostic precision and treatment outcomes. - Health Data and Models
Led by Professor YAN Hong, Chair Professor in the Department of Electrical Engineering and Professor ZHAO Xiangyu, Assistant Professor in the Department of Data Science. This cluster focuses on developing advanced artificial intelligence and data science-based methodologies and tools for healthcare-related applications. - Wearables, Sensors, and Imaging
Led by Professor Kannie CHAN, Associate Dean of the College of Engineering and Professor in the Department of Biomedical Engineering, and Professor LI Xinyue, Assistant Professor in Department of Data Science. This cluster focuses on developing wearable technologies, advanced sensors, and imaging techniques to enhance patient management, from early detection and preventative care to continuous health monitoring.
IDM Funded Projects
| Project Title | Principal Investigator | |
|---|---|---|
| Harnessing Machine Learning for Identification and Development of Novel Platinum-Based Anticancer Drugs | Prof. Maria BABAK | |
| Digitalizing Kidney Function using Quantitative Rapid Test with a Mobile App for Self-Screening and Tracking Chronic Kidney Disease | Prof. CHEN Ting-Hsuan | |
| Human Locomotion Augmentation via Wearable Robotic Devices with Elastic Actuation | Prof. Pakpong CHIRARATTANANON | |
| Development of AI-Based PROTAC Drug Design Platform and its Demo Application | Prof. DAI Liang | |
| Bioavailability Optimization of Alpha-2-Macroglobulin with Nanotechniques for Treating Respiratory Viral Infections | Prof. HE Mingliang | |
| Advancing Healthcare Predictive Modeling: PIEB-LIQB for AI-Driven Treatment Prediction and Microfluidic Screening in Cancer Patients | Prof. KHOO Bee Luan | |
| Utilizing AI, EEG and Gut Microbiota to Predict Mental Health Status from Mindfulness Meditations | Prof. LI Jun | |
| Smart Monitoring Device and Digital Health Management Diabetes | Prof. LI Xinyue | |
| Clinical Evaluations and Applications of An Innovative Optical Coherence Tomography Imaging System in Assisted Reproduction | Prof. MING Wai Kit | |
| Antimicrobial Resistance (AMR) Risk Monitoring: Understanding Mechanisms and Predicting Transfer Risks | Prof. SUN Yanni | |
| Advancing Digital Medicine Through AI Augementation: Enhancing Cancer Detection and Optimizing Mechanical Ventilation Weaning in ICU Patients | Prof. WANG Le | |
| Intelligent Whole Slide Image Compression for Efficient Pathologic Diagnosis | Prof. WANG Shiqi | |
| Identification of Novel Biomarkers for Colorectal Cancer Diagnosis via Machine Learning | Prof. YANG Guan | |
| All-In-One Smart Dressing for Digital Management of Diabetes Wound | Prof. YAO Xi | |
| Deep Learning in Digital Medicine: An Automatic Assessment System for Identifying and Managing Challenging Patients | Prof. ZHANG Peng | |
| Advancing High-Fidelity Volumetric Imaging of the Mouse Brain in Vivo Through Digital Technologies | Prof. ZHANG Qinrong | |
| Light-Emitting Hydrogel Microimplants for Digitalized, Wireless Cancer Phototherapy | Prof. ZHANG Yong | |
| Circulating DNA Derived Tumor Content for Early Detection of Lung Cancer | Prof. ZHENG Zongli | |
| High Throughput AI-Guided Behavioral Classification for Mouse Model of Tourette’s Syndrome | Prof. ZHU Xiaowei |
Global Partnerships and Industry Collaboration
Academic and research partners include:
- National University of Singapore Yong Loo Lin School of Medicine
- Tsinghua University
- Southern Medical University
- University of Exeter, UK
- Oxford Suzhou Centre for Advanced Research (OSCAR)
Industry and clinical partners include:
- JD Health
- China Resources Research Institute of Science and Technology
- Yidu Tech
- Marathon Venture Partners
- SG Diagnostics
IDM Advisory Committee
| Professor Freddy BOEY | President and University Distinguished Professor, City University of Hong Kong |
| Dr Kevin CAI | Chief Information Officer, Hospital Authority of Hong Kong |
| Professor George GAO Fu | Professor and Director, CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences |
| Dr LEUNG Pak-yin | Council Member of City University of Hong Kong |
| Professor LIM Chwee Teck | Director, Institute for Health Innovation & Technology (iHealthtech), National University of Singapore |
| Professor MA Weiying | Director-Designate, Hong Kong Institute of AI for Science, City University of Hong Kong |
| Mr Ray YANG Ruirong | Founding Partner, Marathon Venture Partners |
IDM Team
| Professor Michael YANG | Director |
| Professor YU Xinge | Associate Director |
| Mr Macci ZHANG | Assistant Director |
| Dr ZHANG Qiang | Postdoctoral Fellow |
| Ms Jessie FUNG | Executive Officer |
Contact Us
| Email: | idm@cityu.edu.hk |
|---|---|
| Phone: | +852 3442-7704 |
| Address: |
Room 5164, 5/F, Li Dak Sum Yip Yio Chin Academic Building, City University of Hong Kong, 83 Tat Chee Avenue, Kowloon Tong, Kowloon, Hong Kong SAR |