Profile
Dr. Bee Yong Mong is the Head and Senior Consultant of the Department of Endocrinology at Singapore General Hospital (SGH). He holds the position of Clinical Associate Professor within the Medicine Academic Medicine Programme (ACP) at Duke-NUS Medical School, Singapore. Additionally, he is the Director of the Data Science and Artificial Intelligence Laboratory (DSAIL) at SGH.
Dr. Bee graduated from the National University of Singapore (NUS) in 1998 and completed his specialist training in Endocrinology at SGH in 2007. He furthered his training at the Joslin Diabetes Centre in Boston, USA, from 2009 to 2010 as a recipient of the Health Manpower Development Plan (HMDP) fellowship award.
His clinical focus is primarily on the management of diabetes mellitus and lipid disorders. Dr. Bee leads research programmes aimed at diabetes prevention, risk prediction for diabetic complications, and leveraging artificial intelligence in diabetes care. He was instrumental in establishing the SingHealth Diabetes Registry (SDR), a comprehensive multi-institutional database derived from the SingHealth Electronic Medical Record system.
In addition to his roles at SGH and SingHealth, Dr. Bee is the President of Diabetes Singapore (DS), the sole registered charitable organisation in Singapore devoted exclusively to the fight against diabetes.
Education
- FRCP (Edin), Royal College of Physicians (Edinburgh)
- MRCP(UK), Royal College of Physicians (United Kingdom)
- MBBS, National University of Singapore
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Professional Appointments and Committee Memberships
- Director, Data Science and Artificial Intelligence Laboratory, SGH
- Senior Research Scientist, Centre for Population Health Research and Implementation (CPHRI), SingHealth Regional Health System (RHS)
- Executive Committee Member, SingHealth Artificial Intelligence (AI) Office
- President, Diabetes Singapore
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Awards
- National Day Award, Long Service Award (25 years), 2024
- National Day Award, Public Administration Award (Bronze), 2023
- SingHealth GCEO Excellence Award: Outstanding Researcher Award, 2023
- Covid-19 Resilience Medal, 2023
- SingHealth 20-Year Long Service Award, 2019
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Publications
- Lim DYZ, Chia SY, Hanis AK, Nur Nasyitah MS, Bee YM. Establishment of the SingHealth Diabetes Registry. Clinical Epidemiology 2021;13:215-223. PMID: 33762850
- Sun X*, Bee YM*, Lam SW, Liu Z, Zhao W, Chia SY, Abdul Kadir H, Wu JT, Ang BY, Liu N, Lei Z, Xu Z, Zhao T, Hu G, Xie G. Effective treatment recommendations for type 2 diabetes management using reinforcement learning: treatment recommendation model development and validation. J Med Internet Res. 2021 Jul 22:23(7):e27858. PMID: 34292166. *Joint first authors.
- Yeung KF, Gandhi M, Lam AYR, Julianty S, Chia AYM, Tan GCS, Goh SY, Ho ETL, Koh AFY, Tan GSW, Shum EJW, Finkelstein FA, Jafar TH, Teoh YL, van DAM RM, Whitton C, Thumboo J, Bee YM. The Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) program: study protocol for a randomized controlled trial. Trials 2-21 Aug 6;22(1):522. PMID: 34362409.
- Bee YM, Tai ES, Wong TY. Singapore's "War on Diabetes". Lancet Diabetes & Endocrinology. 2022 Jun;10(6):391-392. PMID: 35483379
- Tan JK, M Salim NN, Lim GH, Chia SY, Thumboo J, Bee YM. Trends in diabetes-related complications in Singapore, 2013-2020: A registry-based study. PLoS One. 2022 Oct 11;17(10):e0275920. doi: 10.1371/journal.pone.0275920. eCollection 2022. PMID: 36219616
- Yeung KF, Lee YQ, Chong MFF, Gandhi M, Lam AYR, Julianty S, Tan GCS, Ho ETL, Goh SY, Tan GSW, Shum EJW, Finkelstein EA, Jafar TH, van Dam RM, Teoh YL, Thumboo J, Bee YM. Baseline characteristics of participants in the Pre-Diabetes Interventions and Continued Tracking to Ease-out Diabetes (Pre-DICTED) Program. BMJ Open Diabetes Research and Care. 2022 Oct; 10(5):e002966. doi: 10.1136/bmjdrc-2022-002966. PMID: 36220198
- Sng GGR, Tung JYM, Lim DYZ, Bee YM. Potential and pitfalls of ChatGPT and natural-language artificial intelligence models for diabetes education. Diabetes Care. 2023 2023 May 1;46(5):e103-e105. doi: 10.2337/dc23-0197. PMID: 36920843.
- Sng GRG, Khoo YL, Yeo KK, Loh WJ, Aw TC, Khoo JJC, Lee LMY, Tan GCS, Tan HC, Bee YM. Comparison of existing methods of low-density lipoprotein cholesterol estimation in patients with type 2 diabetes mellitus. Annals Academy of Medicine Singapore. 2023 Jun 27;52(6):280-288. doi: 10.47102/annals-acadmedsg.2022477. PMID: 38904509
- Sheng B, Guan Z, Lim LL, Jiang Z, Mathioudakis N, Li J, Liu R, Bao Y, Bee YM, Wang YX, Zheng Y, Tan GSW, Ji H, Car J, Wang H, Klonoff DC, Li H, Tham YC, Wong TY, Jia W. Large language models for diabetes care: Potentials and prospects. Sci Bull (Beijing). 2024 Mar 15;69(5):583-588. doi: 10.1016/j.scib.2024.01.004. Epub 2024 Jan 4. PMID: 38220476
- Dalan R, Surian N, Batagov A, Wu A, Lai WB, Yan S, Bee YM. A digital twin model incorporating generalized metabolic fluxes to predict chronic kidney disease in diabetes. NPJ Digit Med. 2024 May 24;7(1):140. doi: 10.1038/s41746-024-01108-6. PMID: 38789510
- Sheng B, Pushpanathan K, Guan Z, Lim QH, Lim ZW, Yew SME, Goh JHL, Bee YM, Sabanayagam C, Sevdalis N, Lim CC, Lim CT, Shaw J, Jia W, Ekinci EI, Simó R, Lim LL, Li H, Tham YC. Artificial intelligence for diabetes care: current and future prospects. Lancet Diabetes Endocrinology. 2024 Aug;12(8):569-595. doi: 10.1016/S2213-8587(24)00154-2. PMID: 39054035
- Nambiar M, Bee YM, Chan YE, Ho Mien I, Guretno F, Carmody D, Lee PC, Chia SY, Salim NNM, Krishnaswamy P. A drug mix and dose decision algorithm for individualized type 2 diabetes management. NPJ Digit Med. 2024 Sep 17;7(1):254. doi: 10.1038/s41746-024-01230-5. PMID: 39289474
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