Founder Dan Knights shares his perspective on the future of microbiome research methods in an article published by Cell Host & Microbe. With a focus on predictive features, Knights believes the key to harnessing the human microbiome lies in computational advances in machine learning.
Although advanced technologies capture detailed snapshots of microbial communities, machine learning techniques can have a large impact on accurately predicting microbial signatures. This topic is becoming wildly popular due to the interest of the health field in the implications the human microbiome has on general well-being.
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