Moving From Point-Based Analysis to Systems-Based Modeling: Knowledge Integration to Address Antimicrobial Resistance.

Abstract

Optimizing antibiotic therapy requires a holistic bench-to-bedside approach with interdisciplinary collaboration between pharmacologists, clinicians, microbiologists, and computational scientists. Novel experimental models provide insights into drug-pathogen interactions within complex host environments, while multiomics data provide details of the molecular mechanisms shaping bacterial responses. Pharmacometrics and machine learning can be used to integrate these insights into in silico models. This perspective highlights how these approaches-when used effectively and often together to build a systems-level view-can inform drug development and improve clinical decision-making, ensuring the right drug is given to each patient at the right time, at the right dose, and for the right duration.