Institute of Digestive Disease and Department of Medicine and Therapeutics, State Key Laboratory of Digestive Disease, Li Ka Shing Institute of Health Sciences, Shenzhen Research Institute, The Chinese University of Hong Kong, Hong Kong, China.
J Gastroenterol Hepatol. 2021 Apr;36(4):817-822. doi: 10.1111/jgh.15502.
Gastrointestinal cancer maintains the highest incidence and mortality rate among all cancers globally. In addition to genetic causes, it has been reported that individuals' diet and composition of the gastrointestinal microbiome have profound impacts on gastrointestinal cancer development. Microbiome research has risen in popularity to provide alternative insights into cancer development and potential therapeutic effect. However, there is a lack of an effective analytical tool to comprehend the massive amount of data generated from high-throughput sequencing methods. Artificial intelligence is another rapidly developing field that has strong application potential in microbiome research. Deep learning and machine learning are two subfields under the umbrella of artificial intelligence. Here we discuss the current approaches to study the gut microbiome, as well as the applications and challenges of implementing artificial intelligence in microbiome research.
胃肠道癌症在全球所有癌症中保持着最高的发病率和死亡率。除了遗传原因外，据报道，个体的饮食和胃肠道微生物组的组成对胃肠道癌症的发展有深远的影响。微生物组研究的兴起为癌症发展和潜在的治疗效果提供了替代的见解。然而，目前缺乏有效的分析工具来理解高通量测序方法产生的大量数据。人工智能是另一个快速发展的领域，在微生物组研究中有很强的应用潜力。深度学习和机器学习是人工智能下的两个分支领域。在这里，我们讨论了目前研究肠道微生物组的方法，以及人工智能在微生物组研究中的应用和挑战。
