Assistant Professor and Chancellor Scholar, Department of Microbiology, Biochemistry and Molecular Genetics, Ruy V. Lourenço Center for Emerging and Re-Emerging Pathogens, Rutgers New Jersey Medical School
BIOGRAPHY
Machine Learning Insights into Antimicrobial Efficacy and Resistance
Presented at:
Microbiology Week Virtual Event Series 2023
Speaker
Abstract
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.
You May Also Like
DEC 10, 2024 | 9:00 AM
To-date, proteomic analysis has been severely limited in scale and resolution. Analyzing protein samples using an intact, single-molecule approach holds th...
OCT 02, 2024 | 7:30 AM
De novo gene synthesis and protein expression are established technologies that can give access to nearly any target DNA or protein sequence, allowing for engineering of biologics. In this p...
Loading Comments...