Bruce R. Levin

This study shows that the innate immune system, not antibiotic type or bacterial resistance, determines treatment success in infections using Galleria mellonella and Staphylococcus aureus.

This study uses a mathematical-computer simulation model to evaluate the effectiveness of combining antibiotics and bacteriophage in treating prosthetic joint infections, finding that bacteriophage may not be an effective addition.

This study uses Galleria mellonella larvae to test hypotheses about innate immunity's role in bacterial infections and shows bacteriostatic drugs and phages are as effective as bactericidal antibiotics.

This study develops mathematical models to analyze how antibiotics, bacteriophage, and the innate immune system interact in treating bacterial infections, showing that host immunity significantly affects treatment outcomes and resistance development.

This study examines how sub-inhibitory antibiotic concentrations affect mutation rates and persistence in Staphylococcus aureus, showing increased mutation rates and reduced persistence.