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Article

Machine learning-informed liquid-liquid phase separation for personalized breast cancer treatment assessment.

Frontiers in immunology - 1 Jan 2024

Wang Tao, Wang Shu, Li Zhuolin, Xie Jie, Chen Huan, Hou Jing

Abstract excerpt

Background: Breast cancer, characterized by its heterogeneity, is a leading cause of mortality among women. The study aims to develop a Machine Learning-Derived Liquid-Liquid Phase Separation (MDLS) model to enhance the prognostic accuracy and personalized treatment strategies for breast cancer patients. Methods: The study employed ten machine learning algorithms to construct 108 algorithm combinations for the...

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Identifiers

PMID: 39628476
DOI: 10.3389/fimmu.2024.1485123
PMCID: PMC11611825

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