Leukemia classification and genomics
How genetic and routine clinical data can describe biologically meaningful groups of acute leukemia, with an emphasis on AML and large collaborative cohorts.
Research
What the group is working on
Pillars are durable. Projects move from exploring to validating to published. Only public programs are listed.
Pillars
Transplant outcomes and complications
Data-driven analysis of graft-versus-host disease, infection, immune reconstitution and related complications after hematopoietic cell transplantation.
Clinical data science from routine care
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 and tools
Reusable grading tools, code and collaborative platforms so that computational hematology methods can be inspected and used beyond a single paper.
Current research
Programs with a public footprint in papers, abstracts or tools.
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 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 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
CMV and immune reconstitution
A series of papers from the group examines CMV kinetics, immune reconstitution and relapse risk after HCT, including work led by Saskia Leserer.
Transplant complications · Clinical HCT cohorts as described in the papers
Explore projectRecently published
Clinical NLP
With colleagues at IKIM, the group contributed to work on self-hosted language models for coding real-world pathology reports.
Clinical data science · Real-world pathology reports 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 projectActive
PathRoClus
The lab site lists the PathRoClus Consortium, supported by EHA. Public materials describe a federated platform for hematological malignancies.
Leukemia classification · PATHroclus consortium
Explore projectActive
HARMONY MRD
Through HARMONY, the group is involved in discussions of MRD as a risk factor and possible surrogate endpoint in AML. Authorship of specific MRD papers needs confirmation before this is a featured project.
Leukemia classification · HARMONY Alliance
Explore projectActive
ATLG pharmacokinetics
Building on earlier work on ATLG dosing after unrelated HCT, the group has presented further pharmacokinetics modeling toward individualized dosing. Public description here is limited to conference-abstract level; no unpublished results are given.
Transplant complications
Explore projectEarlier programs
Published
XplOit
XplOit was a BMBF-funded platform for integrating clinical data to support predictive modeling, including in allogeneic stem cell transplantation.
Clinical data science · XplOit consortium
Explore project