This is the first novel technology that utilises machine learning to analyse unique ultraviolet light “fingerprints” on cell cultures to quickly identify presence of contamination Only requiring a ...
A sterility test for cell therapy products returns yes/no results within 30 minutes for a range of microbial contaminants. Such detection speed is the result of combining machine learning (ML) and ...
Artificial intelligence (AI) could help biopharmaceutical manufacturers detect contamination in cell cultures sooner than conventional approaches, thereby helping to reduce waste and batch losses. The ...
Squeezed light technology advances pathogen detection, surpassing traditional limits and enabling faster, more accurate ...
(Nanowerk Spotlight) Ensuring the safety of drinking water, food supplies, and environmental samples depends on detecting bacterial contamination before it causes harm. Traditional microbiological ...
Researchers and therapeutic manufacturers have long relied on classical microbiological methods to check their samples and surfaces for microbial contamination, primarily using lengthy ...
Researchers at Worcester Polytechnic Institute (WPI) have developed a solid polymer coated with harmless viruses to detect ...
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