Abstract
Gastrointestinal cancers remain a major threat to the global community. In recent years, the multifaceted effect of the microbiome in cancer development modulation and its potential therapeutic role are gaining well-deserved recognition. Artificial intelligence has been put to test in assisting clinicians with excellent performance. With the influx of data generated from sequencings in microbiome studies, there is an uprising application of artificial intelligence in microbiome data analysis. In this article, we discuss the pivotal role of the microbiome in gastrointestinal cancers, current approaches for microbiome research, and the potential applications of artificial intelligence in microbiome data analysis.
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Cheung, H., Lin, Y. (2023). Machine Learning on Microbiome Research in Gastrointestinal Cancer. In: Yu, J. (eds) Microbiome in Gastrointestinal Cancer. Springer, Singapore. https://doi.org/10.1007/978-981-19-4492-5_13
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DOI: https://doi.org/10.1007/978-981-19-4492-5_13
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