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 team of researchers have developed a novel method that can quickly and automatically detect and monitor microbial contamination in cell therapy products (CTPs) early on during the manufacturing ...
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 ...
AZoNano on MSN
Antimicrobial Polymer Nanocomposites Made with Beetroot
Copper nanoparticles from beetroot extract enhance antimicrobial properties in polymer composites, offering a sustainable ...
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