Machine Learning Insights into Antimicrobial Efficacy and Resistance

Antimicrobial resistance is an important and pressing challenge for global human health. Several obstacles in understanding, diagnosing, and treating antimicrobial resistance limit our ability to address this growing challenge in the clinic. Here we discuss recent innovations in machine learning that are poised to address each of these obstacles.

Learning Objectives:

1. Recognize mechanisms underlying antimicrobial efficacy and resistance.

2. Identify critical obstacles in addressing the problem of antimicrobial resistance.

3. Define cutting-edge machine learning approaches to diagnosing and treating resistance.