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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 ...
A team of researchers at the University of California, Los Angeles (UCLA) has introduced a virtual Gram staining technique that could transform how microbiologists stain and classify bacteria. This ...
Clinical bacteriology relies on the ability to identify cultured isolates. However, unknown isolates are common in hospital settings. Now, researchers at the University of Basel, have established a ...
Unknown germs are a common occurrence in hospitals. Researchers at the University of Basel have spent many years collecting and analyzing them. They have identified many new species of bacteria, some ...
Bacterial infections can be treated more efficiently if the cause of the disease is known. In most cases, all it takes to identify a pathogen is an analysis in a medical laboratory. Sometimes, however ...
Article reviewed by Phoebe Lostroh, PhD from Colorado College. Stay up to date on the latest science with Brush Up Summaries. Louis Pasteur prepared the first liquid bacterial culture medium in 1860, ...
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