Machine learning detects bacterial invasion and DNA damage in human cells

edited by Sadie Harley , reviewed by Robert Egan

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Add as preferred source MALVINA connects bacterial behaviour, host-cell responses and drug effects in a single-cell analysis framework. By measuring bacterial invasion, intracellular accumulation and host-cell damage together, the method can support pathogen diagnostics, probiotic discovery, drug profiling and toxicity testing under more infection-relevant conditions. Credit: HUN-REN Biological Research Centre Szeged When scientists assess how dangerous a bacterium is, the first question often seems simple: Can it be stopped or killed? In microbiology and antibiotic research, one of the classic readouts has been whether a bacterium can grow in the presence of a given treatment. The bacterium either grows or it does not. The drug either stops it or it does not.