2024
DOI: 10.3389/fgene.2023.1304661
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Machine learning and multi-omics data in chronic lymphocytic leukemia: the future of precision medicine?

Maria Tsagiopoulou,
Ivo G. Gut

Abstract: Chronic lymphocytic leukemia is a complex and heterogeneous hematological malignancy. The advance of high-throughput multi-omics technologies has significantly influenced chronic lymphocytic leukemia research and paved the way for precision medicine approaches. In this review, we explore the role of machine learning in the analysis of multi-omics data in this hematological malignancy. We discuss recent literature on different machine learning models applied to single omic studies in chronic lymphocytic leukemi… Show more

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Cited by 4 publications
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“…Moreover, incorporation of next-generation sequencing, and other high-throughput techniques have refined the discovery and validation of diagnostic and prognostic biomarkers and their incorporation into precision medicine [43][44][45][46][47][48][49][50][51].…”
Section: Discussionmentioning
confidence: 99%
“…Moreover, incorporation of next-generation sequencing, and other high-throughput techniques have refined the discovery and validation of diagnostic and prognostic biomarkers and their incorporation into precision medicine [43][44][45][46][47][48][49][50][51].…”
Section: Discussionmentioning
confidence: 99%