Characterising global antimicrobial resistance research explains why One Health solutions are slow in development: An application of AI-based gap analysis

Author:

Chen Cai,Li Shu-LeORCID,Xu Yao-Yang,Liu Jue,Graham David W.ORCID,Zhu Yong-Guan

Funder

Science and Technology Innovation 2025 Major Project of Ningbo

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference72 articles.

1. One Health: a new definition for a sustainable and healthy future;Adisasmito;PLoS Pathog.,2022

2. Alan Krupnick, M.L.C., 2020. Primer on Costs of Action/Inaction and Communication to Policymakers.

3. CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database;Alcock;Nucleic Acids Res.,2023

4. Global antimicrobial-resistance drivers: an ecological country-level study at the human–animal interface;Allel;Lancet Planet. Health.,2023

5. Phylogenetic identification and in situ detection of individual microbial cells without cultivation;Amann;Microbiol. Rev.,1995

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