Tamas Szili-Török
Medicine · Clinical Data Science · Cardiometabolic disease

Tamas Szili-Torok

Medical doctor with cross-disciplinary expertise in clinical data science. Experienced in applying and developing novel statistical and machine learning methods to analyze complex biomedical data. Initiator and driving force behind international clinical data science projects.

ORCID GitHub t.szili-torok@outlook.com

Academic positions

Current and past roles
Current affiliation
Physician researcher · Postdoctoral Researcher
Division of Nephrology, Department of Internal Medicine
University Medical Center Groningen (UMCG)
University of Groningen, Groningen, The Netherlands
Past experience
Physician researcher · PhD student (2021-2024)
Division of Nephrology, Department of Internal Medicine
University Medical Center Groningen
University of Groningen, Groningen, The Netherlands

Key publications

Selected work
1. T Szili-Torok, SJL Bakker, UJF Tietge. Statin Use Is Prospectively Associated With New-Onset Diabetes After Transplantation in Renal Transplant Recipients.
Diabetes Care 2020;43:1945–1947.
Impact factor: 19.112 2. T Szili-Torok, MH de Borst, E Garcia, RT Gansevoort, RPF Dullaart, MA Connelly, SJL Bakker, UJF Tietge. Fasting Ketone Bodies and Incident Type 2 Diabetes in the General Population.
Diabetes 2023;72:1187–1192.
Impact factor: 6.2 3. T Szili-Torok#, D Kremer#, SJL Bakker, UJF Tietge, MH de Borst. Blockchain in nephrology.
Nature Reviews Nephrology 2023. Perspective article.
Impact factor: 28.7 4. T Szili-Torok, S Sokooti, MCJ Osté, AW Gomes-Neto, RPF Dullaart, SJL Bakker, UJF Tietge. Remnant lipoprotein cholesterol is associated with incident new onset diabetes after transplantation in renal transplant recipients.
Cardiovascular Diabetology 2022;21:4.
Impact factor: 9.3 5. T Szili-Torok, MH de Borst, A Soteriou, L Post, SJL Bakker, UJF Tietge. Apolipoprotein B-48 and late graft failure in kidney transplant recipients.
Clinical Kidney Journal 2024;17:10.
Impact factor: 4.6 6. T Szili-Torok, W Annema, JLC Anderson, SJL Bakker, UJF Tietge. HDL Cholesterol Efflux Predicts Incident New-Onset Diabetes After Transplantation in Renal Transplant Recipients Independent of HDL Cholesterol Levels.
Diabetes 2019;68:1915–1923.
Impact factor: 6.2 7. T Szili-Torok, SJL Bakker, UJF Tietge. Normal fasting triglyceride levels and incident type 2 diabetes in the general population.
Cardiovascular Diabetology 2022;21:111.
Impact factor: 9.3 8. T Szili-Torok, Y Xu, MH de Borst, SJL Bakker, UJF Tietge. Normal Fasting Triglyceride Levels and Incident Hypertension in Community-Dwelling Individuals Without Metabolic Syndrome.
Journal of the American Heart Association 2023;12:e028372. Research letter.
Impact factor: 5.0
All publications
9. NBN Shehab, SK Eskandari, T Szili-Torok, A Faiz, EA van der Ploeg, AS Brotons, GJ Teitsma, C Tji Gan, JK Burgess, T Cremers, JR Azzi, MH de Borst, K Bunte, P Horvatovich, SJL Bakker. Untargeted Plasma Proteomic Signatures and Late Graft Failure in Kidney Transplant Recipients. Transplantation. Published online January 30, 2026.

10. Y Yang, S Cai, T Szili-Torok, W Piao, K Huang, C Yang, H Xue, J Nan, F Li, D Yu, C Yuan, MH de Borst. Development and evaluation of a nutrient-derived anti-inflammatory dietary index (NADI) among Chinese adults. European Journal of Nutrition 2026;65(1):28.

11. Y Yang, S Cai, T Szili-Torok, S Zhang, W Piao, J Nan, F Li, L Zhao, D Yu. Associations between dietary approaches to stop hypertension diet and serum uric acid levels and the risk of hyperuricemia: the mediation role of systematic inflammation. Journal of Hygiene Research 2025;54:540–548.

12. Y Yang, H Yuan, Z Tang, S Cai, T Szili-Torok, Y Yang, W Piao, S Zhang, J Nan, F Li, L Zhao, D Yu. Association between triglyceride-glucose index and the risk of diabetes among participants with normal fasting serum glucose. Journal of Hygiene Research 2025;54:557–565.

13. Y Yang, S Cai, T Szili-Torok, Y Wang, J Nan, R Wang, L Zhao, D Yu. Associations between vegetable and fruit intake and sleep duration among Chinese adults aged over 80 years. Chinese Journal of Public Health. Accepted, pending publication.

14. A Simeri, G Pezzi, R Arena, G Papalia, T Szili-Torok, R Greco, P Veltri, G Greco, V Pezzi, M Provenzano, G Zaza. Artificial intelligence in chronic kidney diseases: methodology and potential applications. International Urology and Nephrology 2024.

15. T Szili-Torok, UJF Tietge, MJ Verbeek, SJL Bakker, MH de Borst. Machine learning: it takes more than select models to draw general conclusions. Kidney International 2023;104:1035–1036. Letter to the editor.

16. S Sokooti, T Szili-Török, HJL Heerspink, RPF Dullaart, SJL Bakker. Indirect Insulin Resistance Indices and Their Cut-Off Values for the Prediction of Post-Transplantation Diabetes Mellitus in Kidney Transplant Recipients. Journal of Clinical Medicine 2023;12:7296.

17. T Szili-Torok, UJF Tietge. Remnant Cholesterol Is Just Another Word for Triglycerides When Calculating LDL-C Using the Friedewald Formula. Journal of the American College of Cardiology 2021;77:1841. Letter to the editor.

18. S Sokooti, WA Dam, T Szili-Torok, J Gloerich, AJ van Gool, A Post, MH de Borst, RT Gansevoort, HJL Heerspink, RPF Dullaart, SJL Bakker. Fasting Proinsulin Independently Predicts Incident Type 2 Diabetes in the General Population. Journal of Personalized Medicine 2022;12:1131.

19. S Sokooti, T Szili-Torok, JL Flores-Guerrero, MCJ Osté, AW Gomes-Neto, JE Kootstra-Ros, HJL Heerspink, MA Connelly, SJL Bakker, RPF Dullaart. High-Density Lipoprotein Particles and Their Relationship to Posttransplantation Diabetes Mellitus in Renal Transplant Recipients. Biomolecules 2020;10:481.
# Shared first or last author. Underline: corresponding author.

Presentations

Selected talks
1. Invited speaker — Improving Cardiovascular Disease Outcomes by Clinical Data Science
Tianjin Chest Hospital Academic Conference and International Symposium · September 2025
2. Free communication — Predicting absolute time to kidney failure in chronic kidney disease patients using machine learning
European Renal Association congress · June 4–7, 2025 · Top 100 abstract from 2000+
3. Invited speaker — Improving Non-Communicable Disease Outcomes by Clinical Data Science
Fudan University · 17 April 2025
4. Focussed oral presentation — Time to event prediction of new-onset diabetes after transplantation in kidney transplant recipients using machine learning models
European Renal Association congress · May 23–26, 2024
5. Invited speaker — Clinical data science: improving long term outcomes after kidney transplantation
Applied AI symposium, University of Groningen · 27 April 2024
6. Poster presentation — Time to graft loss prediction in kidney transplant recipients
American Society of Nephrology, Kidney Week
7. Poster presentation — Apolipoprotein B-48 and late graft failure in kidney transplant recipients
World Nephrology Congress · March 30, 2023 – April 2, 2023
8. Oral presentation — Fasting Ketone Bodies and Incident Type 2 Diabetes in the General Population
Meeting of the European Association for the Study of Diabetes · 19–23 September 2022
9. Poster presentation — HDL Cholesterol Efflux Predicts Incident New-Onset Diabetes After Transplantation (NODAT) in Renal Transplant Recipients Independent of HDL Cholesterol Levels
Scandinavian Society for Atherosclerosis Conference · April 11–14, 2018

Awards

1. ERA25 Congress Travel Grant — EUR 500
Competitive travel grant offered to presenters of the top 100 abstracts of the European Renal Association congress. In 2025, more than 2000 abstracts were submitted worldwide.
2. Kidney STARS 2023 — Travel Grant of USD 1000
Travel grant provided by the American Society of Nephrology to young research talents and nephrology residents attending ASN Kidney Week.