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Heterogeneity-optimized method for predicting immune checkpoint blockade response

Abstract Interpatient tumor heterogeneity manifests as multimodal distributions across genomic, transcriptomic, and microenvironmental profiles. This fundamentally violates the unimodal assumption of conventional machine learning models, impairing immune checkpoint blockade (ICB) response prediction...

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Principais autores: Juan Liang, Qihang Guo, Shan Xiang, Yun Wang, Juntao Li
Formato: Artigo
Idioma:Inglês
Publicado: Nature Portfolio 2025-09-01
Series:Scientific Reports
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Acceso en liña:https://doi.org/10.1038/s41598-025-17718-3
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