Leukemia classification
How genetic and routine clinical data can describe biologically meaningful groups of acute leukemia, with an emphasis on AML and large collaborative cohorts.
Research group · Essen / Bochum · Computational Hematology at IKIM
Computational Hemato-Oncology
Computational Hemato-Oncology is a research group led by Amin Turki, MD, PhD, working at the intersection of hematology, data science and artificial intelligence.
Research pillars
Durable intellectual areas. Projects change; these do not, or not quickly.
Transplant complications
Data-driven analysis of graft-versus-host disease, infection, immune reconstitution and related complications after hematopoietic cell transplantation.
Clinical data science
Methods that start from data already generated in hematology care — laboratory values, pathology text, transfusion records — and ask what can be learned without new specialized assays.
Open methods
Reusable grading tools, code and collaborative platforms so that computational hematology methods can be inspected and used beyond a single paper.
What we're working on
Active programs, not a news feed. Statuses are public and conservative.
Validating
HARMONY AML classification
Within the HARMONY Alliance, the group is developing and internationally validating an unsupervised genomic classification of AML. This work has been presented in the EHA 2025 plenary session and as an ASH 2025 oral abstract. It is not yet represented here as a peer-reviewed article.
Leukemia classification · HARMONY Alliance
Explore projectRecently published
Leukemia laboratory AI
A 2026 Nature Communications paper reports international testing and refinement of algorithms that predict acute leukemia subtypes from routine laboratory data. Related commentary appears in Lancet Digital Health (2024).
Clinical data science · International hospital network described in the paper
Explore projectPublished
aGVHD grading
The group led a multi-center effort to rebuild acute GVHD grading from organ-stage data. The 2023 Nature Communications paper is accompanied by a public calculator (gvhd.online) and source code.
Transplant complications · Multi-center German transplant centers as described in the paper
Explore projectActive
AI in transplant care
The group writes and speaks about how AI can support transplant care and complication management, including a 2025 review with lab co-authors.
Clinical data science
Explore projectSelected research
Papers as research objects: a journal visual first, then title and a short line on why it matters.
2026
NatureCommunications
Turki et al., Nat Commun 2026, Fig. 1. CC BY 4.0.
Nature Communications · 2026
International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data
International testing of algorithms that read acute leukemia subtypes from routine laboratory data — a first-author Nature Communications paper for the group.
Turki AT et al.
2023
NatureCommunications
Bayraktar, Graf et al., Nat Commun 2023, Fig. 1. CC BY 4.0.
Nature Communications · 2023
Data-driven grading of acute graft-versus-host disease
The group’s signature transplant-complications paper: data-driven grading of acute GVHD, with a public calculator and code.
Bayraktar E et al.
Lancet Digital Health · 2024
Leukaemia decision support
Lancet Digital Health · 2024
Advances in decision support for diagnosis and early management of acute leukaemia
A short Lancet Digital Health commentary on decision support for diagnosing and first managing acute leukaemia.
Turki AT et al.
Acta Haematologica · 2025
AI in transplant care
Acta Haematologica · 2025
Artificial Intelligence in Hematopoietic Stem Cell Transplantation Care and Complication Management
A review of AI in transplant care and complication management, written with lab co-authors.
Turki AT et al.
American Journal of Hematology · 2021
CMV kinetics after HCT
American Journal of Hematology · 2021
Cytomegalovirus kinetics after hematopoietic cell transplantation reveal peak titers with differential impact on mortality, relapse and immune reconstitution
CMV kinetics after HCT — peak titers, mortality, relapse and immune reconstitution — last-author work with Saskia Leserer.
Leserer S et al.
Featured talk
Outbound to the publisher. We do not autoplay third-party embeds.
SOHO 2025
How AI and digital innovation are transforming transplant care
Interview on AI and digital transformation in bone marrow transplantation, including data integration, digital monitoring, and individualized care.
People
Current members of the group.
Amin Turki, MD, PhD
Principal Investigator
IKIM, University Hospital Essen · Marien Hospital Herne / Ruhr University Bochum
Hayder Alhassani, MD
Researcher
IKIM, University Hospital Essen · Institut für Pathologie, Ruhr-Universität Bochum
Lab culture
Respect. Professionalism. Excellence. Team. Sparkling.
News
Dated events. Separate from current research.
2026-03-20
Nature Communications paper on leukemia laboratory AI
International testing and refinement of AI algorithms predicting acute leukemia subtypes from routine laboratory data.
2025-06-14
EHA 2025 plenary on unsupervised AML classification
HARMONY Alliance work presented in the EHA plenary abstracts session. This is a conference presentation, not a journal article.
2024
Wissenschaftspreis of the Rheinisch-Westfälische Gesellschaft für Innere Medizin
Awarded for the data-driven grading of acute graft-versus-host disease.
Interested in working with us?
Tell us what you would like to work on. We do not list funded posts here until they are confirmed.
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