idm-banner-01

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 Health Data and Models Wearables, Sensors, and Imaging

Led by

Prof. Zhang Yong, Head of Biomedical Engineering
Prof. Yin Huiyong, Professor, Biomedical Sciences

Focus Areas

  • Advancing precision diagnostics
  • Innovative therapeutics
  • Disease prevention, diagnostic precision, and treatment outcomes

Led by

Prof. Yan Jun, Chief Scientist, Institute of Digital Medicine
Prof. Zhao Xiangyu, Associate Professor, Data Science

Focus Areas

  • Developing AI and data science methodologies
  • Healthcare-related applications

Led by

Prof. Li Xinyue, Assistant Professor, Data Science
Prof. Edmund Lee, Associate Professor, Media and Communication
Prof. Song Yu, Presidential Assistant Professor, Biomedical Engineering

Focus Areas

  • Wearable technologies development
  • Advanced sensors and imaging techniques
  • Patient management from early detection to continuous monitoring

IDM Funded Projects

Harnessing Machine Learning for Identification and Development of Novel Platinum-Based Anticancer Drugs
Digitalizing Kidney Function using Quantitative Rapid Test with a Mobile App for Self-Screening and Tracking Chronic Kidney Disease
Development of AI-Based PROTAC Drug Design Platform and its Demo Application
Bioavailability Optimization of Alpha-2-Macroglobulin with Nanotechniques for Treating Respiratory Viral Infections
Advancing Healthcare Predictive Modeling: PIEB-LIQB for AI-Driven Treatment Prediction and Microfluidic Screening in Cancer Patients
Smart Monitoring Device and Digital Health Management Diabetes
Clinical Evaluations and Applications of An Innovative Optical Coherence Tomography Imaging System in Assisted Reproduction
Antimicrobial Resistance (AMR) Risk Monitoring: Understanding Mechanisms and Predicting Transfer Risks
Advancing Digital Medicine Through AI Augementation: Enhancing Cancer Detection and Optimizing Mechanical Ventilation Weaning in ICU Patients
Intelligent Whole Slide Image Compression for Efficient Pathologic Diagnosis
Development of AI-assisted High-Throughput Antibody Design and Secure Cancer Diagnosis with Encrypted Cancer Genome Analysis
Identification of Novel Biomarkers for Colorectal Cancer Diagnosis via Machine Learning
All-In-One Smart Dressing for Digital Management of Diabetes Wound
Deep Learning in Digital Medicine: An Automatic Assessment System for Identifying and Managing Challenging Patients
Advancing High-Fidelity Volumetric Imaging of the Mouse Brain in Vivo Through Digital Technologies
Light-Emitting Hydrogel Microimplants for Digitalized, Wireless Cancer Phototherapy
Circulating DNA Derived Tumor Content for Early Detection of Lung Cancer
High Throughput AI-Guided Behavioral Classification for Mouse Model of Tourette’s Syndrome

Global Partnerships and Industry Collaboration

Academic and research partners include:

  • Hebrew University of Jerusalem
  • National Facility for Translational Medicine (Shanghai), Shanghai Jiao Tong University
  • National University of Singapore Yong Loo Lin School of Medicine
  • Oxford Suzhou Centre for Advanced Research (OSCAR)
  • Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University
  • Southern Medical University
  • Sun Yat-sen University
  • Tsinghua University
  • University of Exeter

Industry and clinical partners include:

  • China Resources Research Institute of Science and Technology
  • EH Plus Digital, subsidiary of Hospital Authority
  • Huadong Hospital
  • JD Health
  • Marathon Venture Partners
  • SG Diagnostics
  • Southern Medical University, Shenzhen Hospital
  • The Sixth Affiliated Hospital, Sun Yat-sen University
  • The Seventh Affiliated Hospital, Sun Yat-sen University
  • Tianfu Jincheng Laboratory
  • Yidu Tech
  • Zhejiang Provincial People's Hospital
 

IDM Advisory Committee

Professor Freddy BOEY President and University Distinguished Professor at CityUHK
Professor Juhee CHO Chair of the Department of Clinical Research Design and Evaluation at the Samsung Advanced Institute for Health Sciences and Technology at Sungkyunkwan University, South Korea
Professor FAN Chunhai Academician of the Chinese Academy of Sciences, Executive Director of the Institute of Translational Medicine of Shanghai Jiao Tong University
Professor George GAO Fu Professor and Director at the CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, China
Ms GONG Yingying Founder and Executive Director of Yidu Tech
Mr Gilbert LI Chief Financial Officer and Board Secretary of Pharmaron
Dr JIN Dong Chief Expert, Medical Artificial Intelligence of Zhejiang Provincial People’s Hospital
Dr LEUNG Pak-yin, SBS, JP Former Chief Executive of the Hong Kong Hospital Authority, CityUHK Council Member
Professor LIM Chwee Teck Fellow of the Royal Society, Director of iHealthtech at the National University of Singapore
Professor MA Wei-ying Director of Hong Kong Institute of AI for Science, Chief of AI at CityUHK
Mr Narayan VENKATARAMAN Deputy Director of Data Science and Intelligence at Changi General Hospital, Singapore
Mr WANG Guoxin Former Chief Scientist of JD Health
Mr Ray YANG Partners of Marathon Venture Partners
Ms YANG Qing General Manager of Baidu Intelligent Cloud Healthcare Products Department

IDM Team

Professor DENG Xin Associate Director
Professor YU Xinge Associate Director
Professor YAN Jun Chief Scientist
Professor WANG Yu Research Assistant Professor
Dr FAN Jiaqi Postdoctoral Fellow
Dr ZHANG Qiang Postdoctoral Fellow
Ms Phoebe PANG Supervisory Executive Officer
Ms Jessie FUNG Executive Officer
Ms Fonnie LEE Executive Officer
Ms Sara LO Clerical Officer
Ms Tracy TAM Clerical Officer

Contact Us

Email: idm@cityu.edu.hk
Phone: +852 3442-5817
Address: Room 11-221, 11/F, Lau Ming Wai Academic Building,
City University of Hong Kong, 83 Tat Chee Avenue,
Kowloon Tong, Kowloon, Hong Kong SAR

We use cookies to ensure you get the best experience on our website.

More Information