Leadership
Priv.-Doz. Dr. med. Dr. phil. Amin Turki
Principal Investigator
Institute of Artificial Intelligence in Medicine, University Hospital Essen · Department of Hematology and Oncology, Marienhospital University Hospital Bochum
Essen / Bochum, Germany
Priv.-Doz. Dr. med. Dr. phil. Amin Turki graduated from the University of Münster, Germany and earned his PhD from Ecole Normale Supérieure, Paris, France. He leads the junior research group Computational Hematology at the Institute of Artificial Intelligence in Medicine at the University Hospital Essen and is also deputy-head of the Department of Hematology and Oncology at Marienhospital University Hospital Bochum. His main areas of expertise are malignant hematology, cellular therapy as well as data science in hematology.
How they study it
- unsupervised probabilistic models
- clinical cohort analysis
- machine learning on routine laboratory and transplant data
Projects
Selected papers
- International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data Nat Commun 2026 — International testing of algorithms that read acute leukemia subtypes from routine laboratory data — a first-author Nature Communications paper for the group.
- Data-driven grading of acute graft-versus-host disease Nat Commun 2023 — The group’s signature transplant-complications paper: data-driven grading of acute GVHD, with a public calculator and code.
- Artificial Intelligence in Hematopoietic Stem Cell Transplantation Care and Complication Management Acta Haematol 2025 — A review of AI in transplant care and complication management, written with lab co-authors.
- Cytomegalovirus kinetics after hematopoietic cell transplantation reveal peak titers with differential impact on mortality, relapse and immune reconstitution Am J Hematol 2021 — CMV kinetics after HCT — peak titers, mortality, relapse and immune reconstitution — last-author work with Saskia Leserer.
- Advances in decision support for diagnosis and early management of acute leukaemia Lancet Digit Health 2024 — A short Lancet Digital Health commentary on decision support for diagnosing and first managing acute leukaemia.