Research Centres, Institutes and Units
Centre for Health AI Research and Translation (CHART)


The Centre for Health AI Research and Translation (CHART) provides a unique platform that facilitates innovative health AI research and accelerates the translation of clinically validated AI and big data systems in a sustainable and trusted manner.  

CHART aims to bridge four major gaps between academic research and social impact – (1) sustainable development and maintenance of software systems, (2) trusted long-term of health data, (3) long-term connection with various stakeholders in the healthcare system that can translate the benefit of research outcomes, and (4) next generation of technology-savvy healthcare professionals and biomedical innovators. 
 
CHART envisions to: 

  1. Create an AI core facility that houses dedicated AI developers and IT infrastructure to enable all AI and digital health systems to be developed and deployed to a high standard and to ensure inter-operability  
  2. House the first systematic data repository dedicated to health and biomedical data in a university in Hong Kong – the HKUMed Data Commons – to provide a secure long-term data management system that supports high quality research and deployment to the community. 
  3. Build a trusted ecosystem of academic-community-industry partnership that enables clinically validated technology to be readily turned into sustainable community impact. 
  4. Nurture the next generation of ethical, innovative, and skilled healthcare professional and biomedical innovators who can lead the future of digital health. 
 
Advisory Board
 
Co-Directors:
Assistant Dean (Interdisciplinary Collaboration)
HKUMed
Assistant Dean (Innovation & Tech Transfer)
HKUMed
Assistant Dean (Health Sciences Education)
HKUMed
 
 
Affiliate Members
 
 
 
 
 
HKUMed Data Commons
Prof. Esther Wai Yin Chan
HKUMed
AI Core
Prof. Qingpeng Zhang
Associate Professor
HKU Musketeers Foundation
Institute of Data Science (IDS)
Technology Transfer Unit
Dr. Kenneth King Yin Lai
HKUMed

The HKUMed Research Data Collaboration Policy (REDCOP) articulates the commitment of HKUMed to encourage researchers to share research data openly, to foster scientific progress and innovation, and to enhance the impact of research outcomes. It provides guidelines and principles to foster best practices in data management and to facilitate timely access to data as well as outlines procedures for data storage and collaboration that adhere to ethical and legal considerations.

Click here to view the full policy.

The HKUMed Research Data Catalogue is a searchable directory of cross-disciplinary datasets, providing metadata listings to facilitate easy discovery and access.  It aims to centralize cross-disciplinary datasets, foster knowledge sharing, and support innovative collaboration among researchers. Whether you're seeking clinical data, bioinformatics resources, or looking to share your research findings, this is your starting point! 

Access the HKUMed Research Data Colleague

COMING SOON!  A Faculty-level central repository of available research datasets to enhance research collaboration and expand potential of datasets so meticulously developed.

Social Media

Social Media

@hkumed
December 18

Congratulations to one of our professors and two of our medical students who received prizes at the Hong Kong ICT Awards 2025!

Medical students Calvin Cheung and Jason Chan received a certificate of merit for their Memo AI tool...

Professor Joshua Ho received a bronze award for Vitogram... more

@hkumed
December 8

【香港大學醫學院教學與學習博覽2025】

香港大學護理學院近日參與了於2025年11月27日至28日舉行的香港大學醫學院科技與學習博覽2025。

在活動期間,團隊展示了虛擬實境學習系統,讓學生通過團隊合作,提升診斷技能並培養同理心。more

@hkumed
November 20

Nine projects led by HKUMed academics took part in the recent HKU Innovation Week 2025, showcasing their innovations.

Their projects range from a new drug to treat atopic dermatitis, targeted cancer therapies, a potential long-term treatment for diabetes and Hong Kong’s first “magic pill” to fight obesity. more