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ASH 2025 | The development and international validation of an unsupervised classification model in AML
In this video, Amin Turki, MD, PhD, Ruhr-University Hospital Bochum & University Hospital Essen, Essen, Germany, discusses the development and international validation of an unsupervised classification model for acute myeloid leukemia (AML) using Hierarchical Dirichlet Mixture models (HDMMs) and the HARMONY Alliance dataset. Dr Turki highlights that the identified strata and subgroups were well-represented and reproduced in the diverse cohort during the international validation, demonstrating the models’ robustness, reproducibility, and generalizability. This interview took place at the 67th ASH Annual Meeting and Exposition, held in Orlando, FL.
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Transcript
Last year, or let’s say, the summer of 2025 at the EHA Congress, we were able to present our work on the development of the unsupervised classification in AML with Harmony Alliance as a plenary presentation. And this year, we were able to present a follow-up study utilizing an international cohort with patients from China, from Taiwan, from the United States, from Italy, and from the United Kingdom, actually...
Last year, or let’s say, the summer of 2025 at the EHA Congress, we were able to present our work on the development of the unsupervised classification in AML with Harmony Alliance as a plenary presentation. And this year, we were able to present a follow-up study utilizing an international cohort with patients from China, from Taiwan, from the United States, from Italy, and from the United Kingdom, actually. And we were able, generally speaking, to demonstrate that the strata that we identified and the subgroups that we identified were very solidly represented and reproduced also on a very diverse cohort and for us this is an encouraging result because we want to develop models that do not only work in a single country and we thought that diversity was already represented across Europe but of course Europe is not the world and that’s why it was so important to see whether this diversity was also covered in other countries, including the emerging ones. Now, the models that we develop, we want them to be as solid, as I said, and robust, and reproducible, and generalizable, and this is one of the hallmarks of that study.
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