2023
DOI: 10.3390/toxins15070417
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Machine Learning with Alpha Toxin Phenotype to Predict Clinical Outcome in Patients with Staphylococcus aureus Bloodstream Infection

Brent Beadell,
Surya Nehra,
Elizabeth Gusenov
et al.

Abstract: Staphylococcus aureus bloodstream (SAB) infection remains a leading cause of sepsis-related mortality. Yet, current treatment does not account for variable virulence traits that mediate host dysregulated immune response, such as SA α-toxin (Hla)-mediated thrombocytopenia. Here, we applied machine learning (ML) to bacterial growth images combined with platelet count data to predict patient outcomes. We profiled Hla phenotypes of SA isolates collected from patients with bacteremia by taking smartphone images of … Show more

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Cited by 2 publications
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“…Three beta-hemolytic S. aureus strains (4051, 4347, and 4628), i.e., producers of alpha-hemolysin 39 , were selected to assess the capacity of supernatants from different Bacillus species to reduce the hemolysis of red blood cells. The selected strains showed the highest beta-hemolytic activity among tested cultures.…”
Section: Resultsmentioning
confidence: 99%
“…Three beta-hemolytic S. aureus strains (4051, 4347, and 4628), i.e., producers of alpha-hemolysin 39 , were selected to assess the capacity of supernatants from different Bacillus species to reduce the hemolysis of red blood cells. The selected strains showed the highest beta-hemolytic activity among tested cultures.…”
Section: Resultsmentioning
confidence: 99%