AI-Assisted Strategies for Combating Antimicrobial Resistance and Healthcare-Associated Infections
Stuti Ghosh, Sudipto Saha
Abstract
Antimicrobial resistance (AMR) is a serious threat to global public health. The multidrug and extensively drug-resistant Mycobacterium tuberculosis (MTB) and drug-resistant ESKAPE are important health-associated infections. In this chapter, applications of artificial intelligence (AI) on several fronts to tackle AMR are discussed, including AI-assisted diagnosis of clinical isolates of antibiotic resistance bacteria (ARB) from whole genome sequencing (WGS) and metagenome sequence data, AMR surveillance, drug repurposing, and development of potent antimicrobial peptides (AMPs).
MeSH terms
- Antibiotic resistance
- Mycobacterium tuberculosis
- Antimicrobial
- Microbiology
- Drug resistance
- Whole genome sequencing
- Tuberculosis
- Antibiotics
- Multiple drug resistance
- Medicine
- Bacteria
- Biology
- Virology
- Extensively drug-resistant tuberculosis
- Metagenomics
- Antimicrobial drug
- Antibacterial agent