Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
Translational Therapeutics (United States) · University of Pennsylvania · +4 more institutions
Abstract
Artificial intelligence (AI) has transformed infectious disease control, enhancing rapid diagnosis and antibiotic discovery. While conventional tests delay diagnosis, AI-driven methods like machine learning and deep learning assist in pathogen detection, resistance prediction, and drug discovery. These tools improve antibiotic stewardship and identify effective compounds such as antimicrobial peptides and small molecules. This review explores AI applications in diagnostics, therapy, and drug discovery, emphasizing both strengths and areas needing improvement.
Citation impact
- FWCI
- 85.76
- Percentile
- 100%
- References
- 107
Authors
4- ACAngela CesaroCorresponding
Translational Therapeutics (United States), University of Pennsylvania
- SCSamuel C. Hoffman
IBM Research - Thomas J. Watson Research Center
- PDPayel Das
IBM Research - Thomas J. Watson Research Center
- CDCésar de la Fuente‐Núñez
University City Science Center, University of the Arts, Translational Therapeutics (United States), University of Pennsylvania, Philadelphia University
Topics & keywords
- Antimicrobial
- Antibiotic resistance
- Virology
- Microbiology
- Computer science
- Biology
- Antibiotics
Funding
- BABrain and Behavior Research Foundation
- IAInternational Association for Dental Research
- UOUniversity of Pennsylvania
- UTUnited Therapeutics Corporation
- NINational Institutes of HealthAwards: -0001, R35GM138201
- DTDefense Threat Reduction AgencyAwards: HDTRA1-22-10031, HDTRA1-23-1-0001, HDTRA1, HDTRA1-21-1-0014
- PSPerelman School of Medicine, University of Pennsylvania
- NINational Institute of General Medical SciencesAward: R35GM138201