Research Projects
Blood Immune Biomarkers to Guide Personalised Adjuvant Immunotherapy in Lung Cancer

Objective and Significance

1. Develop blood biomarker models for treatment outcome prediction to guide personalized treatment decision on immune therapy
2. Build an automated approach to generate optimised adaptive immunotherapy to improve tumour control and decrease

Research Plan and Methodology

1. Immune biomarker of our interests will be focused on (but not limited by) those previously identified by Kong’s group and published previously from the western population.
2. Bayesian network strategy and Support Vector Machine Classifier will be applied for multidimensional blood biomarkers modelling to develop predictive normograms and guide most effective adjuvant immunotherapy decision, for example no treatment for those not needed to decrease toxicity and cost to improve survival in patients with locally advanced non-small cell lung cancer or lung cancer

Professor SFM Kong, Department of Clinical Oncology

Biography
kong0001@hku.hk

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:

1. your CV,
2. a brief description of your research interest and experience, and
3. 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.