Australian food scientists are working to overhaul how dietary fibre is classified beyond soluble and insoluble to better inform nutrition choices and support development of functional foods in a ...
A comprehensive review has warned that inconsistent international standards for interpreting antimicrobial resistance data ...
German Leibniz Institute DSMZ makes WHO-listed fungi available to researchers worldwide BRAUNSCHWEIG, LOWER SAXONY ...
Researchers improved a deep learning model that detects live bacteria in food samples within three hours. By training it to distinguish microbes from food debris, they eliminated false positives.
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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 ...
For decades, gynecological tests have relied on a simplified view of the vaginal microbiome, categorizing bacteria as either ...
In a new study published today in the journal mBio, researchers at the University of Maryland School of Medicine (UMSOM) ...
For decades, gynecological tests have relied on a simplified view of the vaginal microbiome, categorizing bacteria as either ...
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