Research Alert
Article title: Gut microbiota of wild fish as reporters of compromised aquatic environments sleuthed through machine learning
Authors: John W. Turner Jr., Xi Cheng, Nilanjana Saferin, Ji-Youn Yeo, Tao Yang Bina Joe
From the authors: “Overall, this study represents the first multispecies stress-related comparison of its kind and demonstrates the potential of artificial intelligence via [machine learning] as a tool for biomonitoring and detecting compromised aquatic conditions.”
This study is highlighted as one of June’s “best of the best” as part of the American Physiological Society's APSselect program.
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