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Health⚠ unverified · 20%

MALDI-TOF MS combined with machine learning accurately predicts ceftriaxone resistance in Salmonella (ROC-AUC up to 0.924). This interpretable, web-based approach could accelerate targeted therapy and

Machine-generated label — not the source headline.

Unverified, machine-classified. This event was auto-detected from a single BLUESKY news source. The title is a machine-generated label — not the article’s headline — and may not reflect the source. Open the source to confirm; treat as a developing signal until verified.
When
Where
Location unknown
Category
foodborne · salmonella

MALDI-TOF MS combined with machine learning accurately predicts ceftriaxone resistance in Salmonella (ROC-AUC up to 0.924). This interpretable, web-based approach could accelerate targeted therapy and strengthen antimicrobial stewardship. www.sciencedirect.com/science/arti... @isacworld.bsky.social

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Correlated events

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