Nagata et al collected morphologic, clinical, and genetic data of 1079 MDS patients. Consensus clustering was used to group the patients based on their morphologic profiles. High-risk patients mainly segregated into 1 cluster; low-risk patients were represented by 4 clusters. Analysis of the genetic profiles by ML techniques revealed different genetic signatures with prognostic value for high-risk patients and identified significant correlations between genetic variants and clinical features for the morphological profiles of low-risk patients. IPSS-R, Revised International Prognostic Scoring System; P, patient.

Nagata et al collected morphologic, clinical, and genetic data of 1079 MDS patients. Consensus clustering was used to group the patients based on their morphologic profiles. High-risk patients mainly segregated into 1 cluster; low-risk patients were represented by 4 clusters. Analysis of the genetic profiles by ML techniques revealed different genetic signatures with prognostic value for high-risk patients and identified significant correlations between genetic variants and clinical features for the morphological profiles of low-risk patients. IPSS-R, Revised International Prognostic Scoring System; P, patient.

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