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Tamas Szili-Torok

Assistant Professor

Semmelweis University

Hungary

Research Interests

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Professors in Hungary

Articles (14)

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2026

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2026

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2026

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2023

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2023

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2023

Collaborators (8)

Soo Aleman

Karolinska Institutet

SWEDEN

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Changyuan Yang

University Medical Center Groningen

NETHERLANDS

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Daan Kremer

Scientific Staff

University Medical Center Groningen

NETHERLANDS

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Stephan J. L. Bakker

University Medical Center Groningen

NETHERLANDS

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Martin H. de Borst

University Medical Center Groningen

NETHERLANDS

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Mats Eriksson

adj professor, senior consultant

Sahlgrenska universitetssjukhuset

SWEDEN

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Janette Burgess

Scientific Staff

University Medical Center Groningen

NETHERLANDS

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Kerstin Bunte

Professor at University of Groningen

University of Groningen

NETHERLANDS

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Tamas Szili-Torok

Research Interests

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Articles (14)

Anthropometry-adjusted TyG indices predict diabetes, graft failure, and mortality in kidney transplant recipients

Blockchain technology for secure and efficient nephrology data management

Untargeted Plasma Proteomic Signatures and Late Graft Failure in Kidney Transplant Recipients

Eleveated triglycerides predict increased mortality in patients with severe COVID-19 - An observational study

Development and evaluation of a nutrient-derived anti-inflammatory dietary index (NADI) among Chinese adults

Hyperoside stabilizes ACAT1 to promote fatty acid oxidation and attenuate kidney fibrosis via the L-carnitine–SIRT3 axis

Pre- and post-diagnosis signalling lipid profiles in heart failure with preserved ejection fraction: a prospective cohort study

Artificial intelligence in chronic kidney diseases

Apolipoprotein B-48 and late graft failure in kidney transplant recipients

Normal Fasting Triglyceride Levels and Incident Hypertension in Community‐Dwelling Individuals Without Metabolic Syndrome

Blockchain in nephrology

Fasting ketone bodies and incident type 2 diabetes in the general population

Indirect Insulin Resistance Indices and Their Cut-Off Values for the Prediction of Post-Transplantation Diabetes Mellitus in Kidney Transplant Recipients

Machine learning: it takes more than select models to draw general conclusions

Collaborators (8)

Soo Aleman

Changyuan Yang

Daan Kremer

Stephan J. L. Bakker

Martin H. de Borst

Mats Eriksson

Janette Burgess

Kerstin Bunte

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