Antimicrobial resistance crisis: could artificial intelligence be the solution?
Guang-Yu Liu1, Dan Yu2, Mei-Mei Fan1
1Department of Immunology and Pathogen Biology, School of Basic Medical Sciences, Hangzhou Normal University, Key Laboratory of Aging and Cancer Biology of Zhejiang Province, Key Laboratory of Inflammation and Immunoregulation of Hangzhou, Hangzhou Normal University, Hangzhou, 311121, China.
Novel antibiotics are urgently needed to combat antimicrobial resistance. Artificial intelligence (AI) is accelerating the discovery and development of new antibacterial drugs, offering a promising solution to this global health crisis.
Area of Science:
- Infectious Diseases
- Pharmacology
- Computational Biology
Background:
- Antimicrobial resistance (AMR) poses a significant global health threat.
- The development of novel antibiotics is slow, expensive, and has yielded limited new drugs since 2014.
- The World Health Organization (WHO) has identified priority pathogens requiring urgent development of new antibacterial agents.
Conclusions:
- Novel antibiotics are critically needed to address the growing threat of antimicrobial resistance.
- Artificial intelligence is a transformative tool for accelerating the discovery and development pipeline of new antibacterial agents.
- AI integration across various facets of antibacterial drug development offers a promising path forward in combating AMR.
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