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Machine learning framework for predicting the presence of high-risk clonal haematopoiesis using complete blood count data: a population-based study of 431,531 UK Biobank participants

2024-09-30

Abstract excerpt

<h4>Background</h4> Clonal haematopoiesis (CH), the disproportionate expansion of a haematopoietic stem cell and its progeny, driven by somatic DNA mutations, is a common age-related phenomenon that engenders an increased risk of developing myeloid neoplasms (MN). At present, CH is identified by targeted sequencing of peripheral blood DNA, which is impractical to apply at population scale. The complete blood count...

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Literature Corpus work
692ab544-e354-5bbb-8ef2-6246c47ef30f
DOI
10.1101/2024.09.30.24314606
Open publication

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Machine learning framework for predicting the presence of high-risk clonal haematopoiesis using complete blood count data: a population-based study of 431,531 UK Biobank participantsDOI 10.1101/2024.09.30.24314606
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