医学
精密医学
微生物群
大数据
肠道微生物群
耐受性
比例(比率)
数据科学
医疗保健
生物信息学
计算机科学
人工智能
替代医学
数据挖掘
病理
生物
物理
量子力学
经济
经济增长
作者
Giovanni Cammarota,Gianluca Ianiro,Anna M. Ahern,Carmine Carbone,Andriy Temko,Marcus J. Claesson,Antonio Gasbarrini,Giampaolo Tortora
标识
DOI:10.1038/s41575-020-0327-3
摘要
The gut microbiome has been implicated in cancer in several ways, as specific microbial signatures are known to promote cancer development and influence safety, tolerability and efficacy of therapies. The ‘omics’ technologies used for microbiome analysis continuously evolve and, although much of the research is still at an early stage, large-scale datasets of ever increasing size and complexity are being produced. However, there are varying levels of difficulty in realizing the full potential of these new tools, which limit our ability to critically analyse much of the available data. In this Perspective, we provide a brief overview on the role of gut microbiome in cancer and focus on the need, role and limitations of a machine learning-driven approach to analyse large amounts of complex health-care information in the era of big data. We also discuss the potential application of microbiome-based big data aimed at promoting precision medicine in cancer.
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