1.Department 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
2.National Key Discipline of Pediatrics Key Laboratory of Major Diseases in Children Ministry of Education, Laboratory of Dermatology, Beijing Pediatric Research Institute, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China
3.Robert and Arlene Kogod Center on Aging, Mayo Clinic, Rochester, MN 55905, USA
4.Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN 55905, USA
5.Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA
6.Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, UK
7.Institute of Antibiotics, Huashan Hospital, Fudan University, Key Laboratory of Clinical Pharmacology of Antibiotics, National Health Commission of the People’s Republic of China, National Clinical Research Centre for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai 200040, China
Author bio:
*christoph.tang@path.ox.ac.uk;
xiaofenliu@fudan.edu.cn
Funds:
the National Natural Science Foundation of China(32300157);the Shanghai Municipal Science and Technology Commission(19411964900);the Major Research and Development Project of Innovative Drugs, Ministry of Science and Technology of China(2017ZX09304005);the Wellcome Trust
Antimicrobial resistance crisis: could artificial intelligence be the solution?[J]. MMR, 2025,12(1):72-95.
Cite this article as: Liu GY, Yu D, Fan MM, Zhang X, Jin ZY, Tang C, et al. Antimicrobial resistance crisis: could artificial intelligence be the solution?. Mil Med Res. 2024;11(1):7.
Antimicrobial resistance crisis: could artificial intelligence be the solution?[J]. MMR, 2025,12(1):72-95. DOI: 10.1186/s40779-024-00510-1.
Cite this article as: Liu GY, Yu D, Fan MM, Zhang X, Jin ZY, Tang C, et al. Antimicrobial resistance crisis: could artificial intelligence be the solution?. Mil Med Res. 2024;11(1):7. DOI: 10.1186/s40779-024-00510-1.
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