Tamas Szili-Torok, physician-scientist and clinical data scientist
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 iD ORCID Github t.szili-torok@outlook.com

Academic positions

Current and past roles
Division of Nephrology, Department of Internal Medicine
University Medical Center Groningen, University of Groningen
Physician-researcher
Postdoctoral Researcher (2024 to Present)
PhD Student (2021-2024, Awarded in 2024)

Key publications

Selected work
Statin Use Is Prospectively Associated With New-Onset Diabetes After Transplantation in Renal Transplant Recipients
T Szili-Torok, SJL Bakker, UJF Tietge
Diabetes Care 2020;43:1945–1947.
Impact factor: 19.112 Fasting Ketone Bodies and Incident Type 2 Diabetes in the General Population
T Szili-Torok, MH de Borst, E Garcia, RT Gansevoort, RPF Dullaart, MA Connelly, SJL Bakker, UJF Tietge
Diabetes 2023;72:1187–1192.
Impact factor: 6.2 Blockchain in nephrology
T Szili-Torok#, D Kremer#, SJL Bakker, UJF Tietge, MH de Borst
Nature Reviews Nephrology 2023. Perspective article.
Impact factor: 28.7 Remnant lipoprotein cholesterol is associated with incident new onset diabetes after transplantation in renal transplant recipients
T Szili-Torok, S Sokooti, MCJ Osté, AW Gomes-Neto, RPF Dullaart, SJL Bakker, UJF Tietge
Cardiovascular Diabetology 2022;21:4.
Impact factor: 9.3 Apolipoprotein B-48 and late graft failure in kidney transplant recipients
T Szili-Torok, MH de Borst, A Soteriou, L Post, SJL Bakker, UJF Tietge
Clinical Kidney Journal 2024;17:10.
Impact factor: 4.6 HDL Cholesterol Efflux Predicts Incident New-Onset Diabetes After Transplantation in Renal Transplant Recipients Independent of HDL Cholesterol Levels
T Szili-Torok, W Annema, JLC Anderson, SJL Bakker, UJF Tietge
Diabetes 2019;68:1915–1923.
Impact factor: 6.2 Normal fasting triglyceride levels and incident type 2 diabetes in the general population
T Szili-Torok, SJL Bakker, UJF Tietge
Cardiovascular Diabetology 2022;21:111.
Impact factor: 9.3 Normal Fasting Triglyceride Levels and Incident Hypertension in Community-Dwelling Individuals Without Metabolic Syndrome
T Szili-Torok, Y Xu, MH de Borst, SJL Bakker, UJF Tietge
Journal of the American Heart Association 2023;12:e028372. Research letter.
Impact factor: 5.0
All publications
  1. Untargeted Plasma Proteomic Signatures and Late Graft Failure in Kidney Transplant Recipients
    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
    Transplantation Published online January 30, 2026.
  2. Development and evaluation of a nutrient-derived anti-inflammatory dietary index (NADI) among Chinese adults
    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
    European Journal of Nutrition 2026;65(1):28.
  3. Associations between dietary approaches to stop hypertension diet and serum uric acid levels and the risk of hyperuricemia: the mediation role of systematic inflammation
    Y Yang, S Cai, T Szili-Torok, S Zhang, W Piao, J Nan, F Li, L Zhao, D Yu
    Journal of Hygiene Research 2025;54:540–548.
  4. Association between triglyceride-glucose index and the risk of diabetes among participants with normal fasting serum glucose
    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
    Journal of Hygiene Research 2025;54:557–565.
  5. Associations between vegetable and fruit intake and sleep duration among Chinese adults aged over 80 years
    Y Yang, S Cai, T Szili-Torok, Y Wang, J Nan, R Wang, L Zhao, D Yu
    Chinese Journal of Public Health. Accepted, pending publication.
  6. Artificial intelligence in chronic kidney diseases: methodology and potential applications
    A Simeri, G Pezzi, R Arena, G Papalia, T Szili-Torok, R Greco, P Veltri, G Greco, V Pezzi, M Provenzano, G Zaza
    International Urology and Nephrology 2024.
  7. Machine learning: it takes more than select models to draw general conclusions
    T Szili-Torok, UJF Tietge, MJ Verbeek, SJL Bakker, MH de Borst
    Kidney International 2023;104:1035–1036. Letter to the editor.
  8. Indirect Insulin Resistance Indices and Their Cut-Off Values for the Prediction of Post-Transplantation Diabetes Mellitus in Kidney Transplant Recipients
    S Sokooti, T Szili-Török, HJL Heerspink, RPF Dullaart, SJL Bakker
    Journal of Clinical Medicine 2023;12:7296.
  9. Remnant Cholesterol Is Just Another Word for Triglycerides When Calculating LDL-C Using the Friedewald Formula
    T Szili-Torok, UJF Tietge
    Journal of the American College of Cardiology 2021;77:1841. Letter to the editor.
  10. Fasting Proinsulin Independently Predicts Incident Type 2 Diabetes in the General Population
    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
    Journal of Personalized Medicine 2022;12:1131.
  11. High-Density Lipoprotein Particles and Their Relationship to Posttransplantation Diabetes Mellitus in Renal Transplant Recipients
    S Sokooti, T Szili-Torok, JL Flores-Guerrero, MCJ Osté, AW Gomes-Neto, JE Kootstra-Ros, HJL Heerspink, MA Connelly, SJL Bakker, RPF Dullaart
    Biomolecules 2020;10:481.
# Shared first or last author.
Underline: corresponding author.

Presentations

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

Awards

ERA25 Congress Travel Grant Award: €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.
Kidney STARS 2023 Award: $1000
Travel grant provided by the American Society of Nephrology to young research talents and nephrology residents attending ASN Kidney Week.