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Antimicrobial resistance crisis:could artificial intelligence be the solution? 被引量:1
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作者 Guang-Yu Liu Dan Yu +4 位作者 Mei-Mei Fan Xu Zhang Ze-Yu Jin Christoph Tang Xiao-Fen Liu 《Military Medical Research》 2025年第1期72-95,共24页
Antimicrobial resistance is a global public health threat,and the World Health Organization(WHO)has announced a priority list of the most threatening pathogens against which novel antibiotics need to be developed.The ... Antimicrobial resistance is a global public health threat,and the World Health Organization(WHO)has announced a priority list of the most threatening pathogens against which novel antibiotics need to be developed.The discovery and introduction of novel antibiotics are time-consuming and expensive.According to WHO’s report of antibacterial agents in clinical development,only 18 novel antibiotics have been approved since 2014.Therefore,novel antibiotics are critically needed.Artificial intelligence(AI)has been rapidly applied to drug development since its recent technical breakthrough and has dramatically improved the efficiency of the discovery of novel antibiotics.Here,we first summarized recently marketed novel antibiotics,and antibiotic candidates in clinical development.In addition,we systematically reviewed the involvement of AI in antibacterial drug development and utilization,including small molecules,antimicrobial peptides,phage therapy,essential oils,as well as resistance mechanism prediction,and antibiotic stewardship. 展开更多
关键词 Antibiotic Artificial intelligence(AI) Clinical development Machine learning(ML) Antimicrobial peptide Phage therapy Antibiotic stewardship
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