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    Machine learning detects bacterial invasion and DNA damage in human cells

    October 2, 2026, Categories  Physics, Technology/Electronics

    Cell by cell: New machine-learning-based method reveals what can make bacteria dangerous
    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.

    But infection is not just a survival contest...

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