Programme(s) to which this project applies:
|☒ MPhil/PhD||☑ MRes[Med]||☒ URIS|
Objective and Significance:
Upon completion of the project, students should be able to:
Research Plan and Methodology:
Artificial intelligence (AI) is now gaining increasing prevalence in almost all disciplines of modern medical practice. Using big data, including medical imaging data, free text from clinical notes, data from electronic health record, data from social media, and genomic data, we can now develop highly accurate AI-based prediction systems that can support clinical decision making. In this project, a student in this project will develop a software prototype of a new AI-based decision support system in one of the following areas
In addition to software design and development, the student will conduct evaluation of the prototype software to provide evidence that the AI-based system has achieve a suitable level of technical and clinical validity. An ideal candidate for this project will have experience with computer programming. Training will be provided. This project will involve collaboration with appropriate computational and clinical experts.
Dr JWK Ho, School of Biomedical Sciences
Dr Ho is an Associate Professor in the School of Biomedical Sciences at the University of Hong Kong (HKU). He completed his BSc (Hon 1, Medal) and PhD in Bioinformatics from the University of Sydney, and undertook postdoctoral training at the Harvard Medical School. Prior to joining HKU, Dr Ho was the Head of Bioinformatics and Systems Medicine Laboratory at the Victor Chang Cardiac Research Institute, in Sydney Australia. His research focuses on developing and applying cutting-edge computational methods for single cell RNA-seq analysis, metagenomics, and digital health. Dr Ho has over 100 publications, including first or senior papers in leading journals such as Nature, Genome Biology, Nucleic Acids Research and Science Signaling. Dr Ho is also currently the Academic Lead of the Bioinformatics Core of the Centre for PanorOmic Sciences (CPOS) at HKU. He is an Executive Editor of the journal Biophysical Reviews.
For more information or to express interest for this project, please email the supervisor or the specified contact point in the project description. Interested candidates are advised to enclose with your email:
Information on the research programme, funding support and admission documentations could be referenced online at the Research Postgraduate Admissions website. General admission enquiries should be directed to email@example.com.
HKUMed MBBS students interested in the Master of Research in Medicine (MRes[Med]) programme may visit the programme website for more information.
HKUMed UG students interested in the Undergraduate Research Internship Scheme (URIS) may visit the scheme’s website for more information.