Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections

Artificial Intelligence model to predict resistances in Gram-negative bloodstream infections

Artificial intelligence (AI) models are promising tools for predicting antimicrobial susceptibility in gram-negative bloodstream infections (GN-BSI). Single-center study on hospitalized patients with GN-BSI, over 7-year period, aimed to predict resistance to fluoroquinolones (FQ-R), third generation cephalosporins (3GC-R), beta-lactam/beta-lactamase inhibitors (BL/BLI-R) and carbapenems (C-R) was performed. Analyses were carried out within a mac…

Oral Cephalosporins Safe, Effective For Step-Down Therapy For Gram-Negative Bloodstream Infections

A new study being presented at MAD-ID looked at this class of therapies vs oral penicillins and found the former to be non-inferior to the latter.