A collection of microbial specimens gathered from a cave located in Romania has displayed a variety of similarities to bacteria that are currently being studied in neurobiology. This research ...
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in ...
In a new study published today in the journal mBio, researchers at the University of Maryland School of Medicine (UMSOM) report that the long-standing view of the vaginal microbiome as either "optimal ...
For decades, gynecological tests have relied on a simplified view of the vaginal microbiome, categorizing bacteria as either “good” or “bad.” New research from University of Maryland School of ...
News-Medical.Net on MSN
Gut bacteria patterns help predict insulin resistance in type 2 diabetes, study finds
By Hugo Francisco de Souza A new study shows that gut microbiome signatures, analyzed through advanced machine learning, can help identify individuals with more severe insulin resistance, offering ...
10don MSN
Deep learning detects foodborne bacteria within three hours by eliminating debris misclassifications
Researchers have significantly enhanced an artificial intelligence tool used to rapidly detect bacterial contamination in food by eliminating misclassifications of food debris that looks like bacteria ...
A global atlas mapping two key gut bacteria in infants around the world has uncovered a treasure trove of bacterial strains ...
Australian food scientists are working to overhaul how dietary fibre is classified in a shift that could benefit Queensland-based Health ... Read More The post Health Food Symmetry leads way in new ...
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