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了解基于肠道微生物的机器学习平台:使用深度学习的治疗方法的审查

Shilpa Malakar¹, Priya Sutaoney¹, Harishkumar Madhyastha²

¹Department of Microbiology, Kalinga University, Raipur, Chhattisgarh, India.

Chemical biology & drug design

|March 16, 2024

概括

人的肠道微生物群在健康中起着至关重要的作用,但改变可能导致感染. 先进的先进的先进的先进的先进的

科学领域:

微生物学和基因组学微生物学和基因组学
人类微生物组研究研究

背景情况:

数以万亿计的共生微生物细胞居住在人类体内,有助于消化和肠道屏障功能.
肠道微生物组成的不平衡会导致胃肠道感染和与失生症相关的疾病.

研究的目的:

研究人类胃肠道微生物群的组成和功能.
探索用于表征微生物群落及其治疗潜力的先进方法.

主要方法:

采用了独立于培养的技术,包括高通量16S核糖体RNA (rRNA) 测序.
采用全基因组猎枪元基因组测序来进行全面的微生物群构造和多样性分析.
集成的人工智能和深度学习,使用基于omics的方法和微流体评估.

主要成果:

人的胃肠道中特征化的微生物群落.
通过基因组映射和代谢分析,使人类微生物群的功能研究成为可能.
提高了数千种微生物的识别能力.

结论:

与人工智能和微流体学相结合的元基因组学显著推进了肠道微生物组研究.
这些综合性方法对于理解失生症和开发有针对性的疗法至关重要.

关键词:

16S rRNA 基因测序的基因测序人工智能的人工智能是人工智能.深度学习是一种深度学习.这种疾病叫做dysbiosis.我们的肠道微生物群.机器学习是机器学习.微生物组是一个微生物组.下一代测序的下一代测序.一把枪的元基因组学.

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