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Saeam Shin

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Open access Oct 2026

Clinical Evaluation of the Utility of Machine Learning-Based Subtype Classifiers of Acute Lymphoblastic Leukemia in Identifying Cryptic and Novel Fusions.

Background B-acute lymphoblastic leukemia (B-ALL) is a heterogeneous disease comprising more than 20 molecular subtypes defined by distinct gene expression profiles (GEPs) and genetic alterations. Subtypes primarily defined by GEPs remain challenging to identify using conventional cytogenetic and targeted molecular ass...

Seoyoung Lim, Yu Jeong Choi, Yu Jin Park et al. · 0 citations
Open access Aug 2026

Comprehensive High-Sensitivity Mutation Profiling in MPNs: Diagnostic and Prognostic Implications

Overall, the findings suggest that panel-based ultra-deep NGS improves mutation detection, enhances diagnostic sensitivity, and may provide valuable prognostic information for MPN management, although larger prospective studies are needed to confirm these results.

Namsoo Kim, Yehyun Kang, H. W. Kook et al. · 0 citations

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