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Programme(s) to which this project applies: |
| ☑ MPhil/PhD | ☒ MRes[Med] | ☒ URIS |
About the Project
Prognostic uncertainty remains a critical challenge in managing spinal disorders such as adolescent idiopathic scoliosis (AIS), cervical spondylotic myelopathy (CSM), and degenerative disc disease. Traditional clinical scoring systems lack predictive precision for individualized disease trajectories.
The project aims to develop interpretable Artificial Intelligence (AI) frameworks for:
- Predicting progression risks through multimodal data integration (imaging, biomechanics, genomics).
- Validating models through large-scale, multicenter clinical studies.
- Creating AI-powered tools for real-time clinical decision support.
We are looking for motivated students with expertise in machine learning, computational modeling, medical imaging, or biomechanics. A strong interest in clinical translation and interdisciplinary collaboration is highly valued.
About the Supervisor
Professor GKH Shea, Department of Orthopaedics and Traumatology
Dr Graham Shea graduated from the University of Hong Kong as a member of the first cohort of candidates recruited to the combined MBBS / PhD programme. After completing his internship, he joined the Department of Orthopaedics and Traumatology as Clinical Assistant Professor and Resident under the Croucher Foundation Scheme for Young Clinical Academics. He received his FRCSEd (O&T) in 2019 and has a post-fellowship clinical and research interest in spine surgery and regenerative medicine.
Next Step?
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:
- your CV,
- a brief description of your research interest and experience, and
- two reference letters (not required for HKUMed UG students seeking MRes[Med]/URIS projects).
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 rpgmed@hku.hk.
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.
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