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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 ...
Microfluidic biosensing technologies enable swift identification of pathogenic bacteria, crucial for timely intervention in ...
Fabrication and characterization of plasmonic membrane. Schematic representation of the plasmonic fidget spinner (P-FS) used for the isolation and digital detection of bacteria through SERS mechanism.
(Nanowerk News) Bacterial spores are one of nature’s most resilient organisms. These tiny, seed-like structures form when bacteria enter a dormant state to survive unfavorable conditions. They can ...
Bacteria are among the most diverse lifeforms on Earth, so it’s no surprise that their genomes have yielded a treasure trove of fascinating discoveries. The study of bacterial genomes has led to the ...
Researchers at the Indian Institute of Technology (IIT) Ropar have unveiled a cutting-edge diagnostic approach that could transform how bacterial infections are identified in clinical settings, ...
Scientists assess bacterial growth trajectories to better predict infectious capacity and the conditions that aid proliferation. This article explores the key factors that influence bacterial ...
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How conflicting MIC breakpoints distort antimicrobial resistance data
By Vijay Kumar Malesu Why mismatched resistance thresholds between CLSI and EUCAST could be masking the true scale of ...
DOVER, DE, UNITED STATES, January 15, 2026 /EINPresswire.com/ -- The safety of parenteral medicines and medical devices ...
A bacterial biosensor created by researchers from The Hebrew University of Jerusalem (Rehovot, Israel) lights up in the ...
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