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​Prof. Benny Chung-ying ZEE 徐仲鍈教授

Prof. Benny Chung-ying ZEE 

徐仲鍈教授

Bsc, Msc (Manit.) PhD (Pitt.)

Professor

Email: bzee@cuhk.edu.hk

 

ORCID: 0000-0002-7238-845X

Scopus Author ID: 7006378172

ResearcherID: G-5606-2017

Loop profile:  300865

Academic Appointments

  • Director, Office of Research and Knowledge Transfer Services (ORKTS), CUHK

  • Director, Centre for Clinical Research and Biostatistics

Biography

Prof. Benny Zee is Director, Office of Research and Knowledge Transfer Services (ORKTS) of the Chinese University of Hong Kong (CUHK). He is also Professor and Director of the Centre for Clinical Research and Biostatistics (CCRB) of the Jockey Club School of Public Health and Primary Care, and Director of Clinical Trials and Biostatistics Lab in the CU Shenzhen Research Institute (SZRI). He holds honorary appointments in the Department of Clinical Oncology and the Department of Statistics of CUHK. He is also the Chairman of the Joint CUHK-NTEC Clinical Research Ethics Committee from 2006-2020. Professor Zee obtained his Ph.D in Biostatistics from the University of Pittsburgh USA in 1987. He then joined the National Cancer Institute of Canada Clinical Trials Group as Senior Biostatistician, and faculty member in the Department of Community Health and Epidemiology and the Department of Mathematics and Statistics of Queen’s University Canada from 1987-2001. He remains as Adjunct Professor with Queen’s University after he joined CUHK and is actively promoting international academic activities and collaborations.

 

Professor Zee has strong interest in various aspects of multi-center clinical trials, including statistical methods, data management, drug and medical device development. On the methodological side, he is active in Biostatistics research, especially in the area of clinical trials design, bioinformatics, quality of life, data & safety monitoring and other statistical issues. He has experience in the development of efficient data management procedure using advanced computer technology for “big data analytics” and "machine learning", plus ample experience in working with industry to design and to carry out clinical trials that satisfy both academic interest and industry objectives. He has tremendous experience in the development of infrastructure such as Ethics Committee, GCP Centre and quality assurance team to carry out clinical research in hospitals that satisfies regulatory and international requirements. He is also active in medical devices development such as “automatic retinal imaging analysis (ARIA)” and serves in the Centre for Entrepreneurship of CUHK. He had published more than 250 international peer reviewed journal articles, a number of US and international patents and serves in various committees including advisory committees for drug development and data & safety monitoring committees for international drug trials.

Research Interests

  • Clinical trials methodology - Design of phase II/III clinical trials with multiple endpoints; Interim analysis issues; Randomized phase II design for hepatocellular cancer (HCC) trials.

  • Biostatistics Methodology: Quality of life analysis with missing data; survival analysis.

  • Bioinformatics analysis – Wavelet-based approach to analyze microarray data; Analysis of array-CGH data; Prognostic modeling with gene expression.

  • Ethical issues in clinical research.

  • Data management in clinical trials - remote data entry.

Selected Publications

  1. Lau A, Mok V, Lee J, Fan Y, Zeng J, Lam b, Wong A, Kwok C, Lai M, Zee B, “Retinal image analytics detects white matter hyperintensities in healthy adults”, Annals of Clinical and Translational Neurology, Volume 6, Issue 1, January 2019, Pages 98-105

  2. Chan ATC, Hui EP, Ngan RKC, Tung SY, Cheng ACK, Ng WT, Lee VHF, Ma BBY, Cheng HC, Wong FCS, Loong HHF, Tong M, Poon DMC, Ahuja AT, King AD, Wang K, Mo F, Zee BCY, Chan KCA, Lo YMD, “Analysis of Plasma Epstein-Barr Virus DNA in Nasopharyngeal Cancer After Chemoradiation to Identify High-Risk Patients for Adjuvant Chemotherapy: A Randomized Controlled Trial”, J Clin Oncol. 36, no. 31 (November 01, 2018) 3091-3100.

  3. Luk AOY, Zee BCY, Chong M, Ozaki R, Rausch CW, Chan MHM, Ma RCW, Kong APS, Chow FCC, Chan JCN, “A proof-of-concept study to evaluate the efficacy and safety of BTI320 on post-prandial hyperglycaemia in Chinese subjects with pre-diabetes”, BMC Endocr Disord. 2018 Aug 31;18(1):59. doi: 10.1186/s12902-018-0288-5.

  4. Lam WKJ, Jiang P, Chan KCA, Cheng SH, Zhang H, Peng W, Tse OYO, Tong YK, Gai W, Zee BCY, Ma BBY, Hui EP, Chan ATC, Woo JKS, Chiu RWK, Lo YMD, “Sequencing-based counting and size profiling of plasma Epstein-Barr virus DNA enhance population screening of nasopharyngeal carcinoma”, Proc Natl Acad Sci U S A. 2018 May 29;115(22): E5115-E5124.

  5. Chan, K.C.A, Woo, J.K.S., King, A., Zee, B.C.Y., Lam, W.K.J., Chan, S.L., Chu, S.W.I., Mak, C., Tse, I.O.L., Leung, S.Y.M., Chan, G., Hui, E.P., Ma, B.B.Y., Chiu, R.W.K., Leung, S.-F., Van Hasselt, A.C., Chan, A.T.C., Lo, Y.M.D. “Analysis of plasma Epstein–Barr virus DNA to screen for nasopharyngeal cancer(Article)”, New England Journal of Medicine, Volume 377, Issue 6, 10 August 2017, Pages 513-522

  6. Wang MH, Lau SYF, Chong KC, Kwok C, Lai M, Chung HY, Ho CS, Szeto CC, Zee B. “Estimation of clinical parameters of chronic kidney disease (CKD) by exhaled breath full-scan mass spectrometry data and Iterative PCA with Intensity Screening (IPS) algorithm”. J Breath Res. Volume 11, Issue 3, 21 August 2017, Article number 036007

  7. Zee B., Lee J., Li Q., Mok V., Kong A., Chiang L.K., Ng L., Zhuo Y., Yu H., Yang Z. “Stroke risk assessment for the community by automatic retinal image analysis using fundus photograph, Quality in Primary Care 2016, 24 (3): 114-124

  8. Guo VY, Chan J, Chung H, Ozaki R, So W, Luk A, Lam A, Lee J, Zee BC. “Retinal Information is Independently Associated with Cardiovascular Disease in Patients with Type 2 diabetes”. Scientific Reports 2016 Jan 12;6:19053.

  9. Lee J, Zee B, Li Q, “Detection of Neovascularization based on Fractal and Texture Analysis with Interaction Effects in Diabetic Retinopathy, PLoS One. 2013 Dec 16;8(12):e75699. doi: 10.1371/journal.pone.0075699

  10. Lee J, Zee B, Li Q, “Segmentation and texture analysis with multimodel inference for the automatic detection of exudates in early diabetic retinopathy”, J. Biomedical Science and Engineering, 2013, 6, 298-307
     

Last Updated: 1 Sept 2020

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