ArticleBlood advances2021
A geno-clinical decision model for the diagnosis of myelodysplastic syndromes.
Article in Blood advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Machine learning-based prediction of progression from idiopathic cytopenia of undetermined significance to myeloid malignancies.Scientific reports · 2026Article
- Application of artificial intelligence in laboratory hematology: Advances, challenges, and prospects.Acta pharmaceutica Sinica. B · 2025Review
- Features of TP53-mutated patients with chronic myelomonocytic leukemia in a national (ABCMML) and international cohort (cBIOPORTAL).Wiener medizinische Wochenschrift (1946) · 2025Article
- Characteristics of NRAS-mutated patients with chronic myelomonocytic leukemia in a national (ABCMML) and an international cohort (cBioPortal).Wiener medizinische Wochenschrift (1946) · 2025Article
- Features of SRSF2-mutated patients with chronic myelomonocytic leukemia in a national (ABCMML) and international cohort (cBioPortal).Wiener medizinische Wochenschrift (1946) · 2025Article
- Characteristics of CBL-mutated patients with chronic myelomonocytic leukemia in a national (ABCMML) and an international cohort (cBIOPORTAL).Wiener medizinische Wochenschrift (1946) · 2025Article
- Features of RUNX1-mutated patients with chronic myelomonocytic leukemia in a national (ABCMML) and international cohort (cBioPortal).Wiener medizinische Wochenschrift (1946) · 2025Article
- Features of KRAS-mutated patients with chronic myelomonocytic leukemia with and without blast transformation in a national (ABCMML) and international cohort (BIOPORTAL).Wiener medizinische Wochenschrift (1946) · 2025Article
- Unlocking the Potential of Artificial Intelligence in Acute Myeloid Leukemia and Myelodysplastic Syndromes.Current hematologic malignancy reports · 2024Review
- Article
- The Heterogeneous Complexity of Myeloid Neoplasm: Multi-Level Approaches to Study the Disease.Cancers · 2023Article
- Precision Medicine in Myeloid Malignancies: Hype or Hope?Current hematologic malignancy reports · 2022Review
- Article
- Personalized Risk Schemes and Machine Learning to Empower Genomic Prognostication Models in Myelodysplastic Syndromes.International journal of molecular sciences · 2022Review
Corrections and comments
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Authors and funding
23 authors.
Funding
Abstract
The differential diagnosis of myeloid malignancies is challenging and subject to interobserver variability. We used clinical and next-generation sequencing (NGS) data to develop a machine learning model for the diagnosis of myeloid malignancies independent of bone marrow biopsy data based on a 3-institution, international cohort of patients. The model achieves high performance, with model interpretations indicating that it relies on factors similar to those used by clinicians. In addition, we describe associations between NGS findings and clinically important phenotypes and introduce the use of machine learning algorithms to elucidate clinicogenomic relationships.
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Registered trials
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