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优化乳腺癌化疗,利用人工智能的洞察力利用肠道微生物群

Yi Zhou¹, Min Jiang¹, Ke Shen¹

¹Department of Breast Surgery and Institute for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

NPJ biofilms and microbiomes

|October 9, 2025

概括

优化乳腺癌化疗是具有挑战性的,因为肠道微生物群 (GM) 变化. 将人工智能 (AI) 与转基因分析相结合,为个性化乳腺癌治疗提供了新的见解.

科学领域:

在瘤学瘤学.
微生物学微生物学
生物信息学是一种生物信息学.

背景情况:

优化乳腺癌 (BC) 化疗是一种重大的临床挑战.
肠道微生物群 (GM) 失生症通过免疫和代谢途径影响BC发育和治疗反应.
化疗本身改变了GM,表明了复杂的双向关系.

研究的目的:

探索肠道微生物群和乳腺癌之间的复杂关系.
调查转基因失调如何影响BC进展和化疗疗效.
利用人工智能 (AI) 来更深入地了解这些相互作用.

主要方法:

分析肠道微生物群的组成及其在BC亚型和阶段的变化.
整合AI算法以识别GM数据中的复杂模式.
与BC发育和化疗反应相关联的转基因资料.

主要成果:

转基因生物失调是BC发育和化疗结果的重要因素.
化疗和肠道微生物群之间存在着复杂的双向相互作用.
人工智能成功地确定了GM-BC关系中以前隐藏的模式.

结论:

了解肠道微生物群的作用对于优化BC化疗至关重要.
人工智能驱动的转基因分析提供了对BC病原体的新见解.
这种综合方法为个性化BC治疗策略铺平了道路.

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