Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance

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 disc...

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Main Authors: Angela Cesaro, Samuel C. Hoffman, Payel Das, Cesar de la Fuente-Nunez
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:npj Antimicrobials and Resistance
Online Access:https://doi.org/10.1038/s44259-024-00068-x
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author Angela Cesaro
Samuel C. Hoffman
Payel Das
Cesar de la Fuente-Nunez
author_facet Angela Cesaro
Samuel C. Hoffman
Payel Das
Cesar de la Fuente-Nunez
author_sort Angela Cesaro
collection DOAJ
description 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.
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series npj Antimicrobials and Resistance
spelling doaj-art-f9888435895e4822aaf8d337d1df6f7d2025-01-12T12:41:24ZengNature Portfolionpj Antimicrobials and Resistance2731-87452025-01-013111010.1038/s44259-024-00068-xChallenges and applications of artificial intelligence in infectious diseases and antimicrobial resistanceAngela Cesaro0Samuel C. Hoffman1Payel Das2Cesar de la Fuente-Nunez3Machine Biology Group, Department of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of PennsylvaniaIBM Research, Thomas J. Watson Research Center, Yorktown HeightsIBM Research, Thomas J. Watson Research Center, Yorktown HeightsMachine Biology Group, Department of Psychiatry and Microbiology, Institute for Biomedical Informatics, Institute for Translational Medicine and Therapeutics, Perelman School of Medicine, University of PennsylvaniaAbstract 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.https://doi.org/10.1038/s44259-024-00068-x
spellingShingle Angela Cesaro
Samuel C. Hoffman
Payel Das
Cesar de la Fuente-Nunez
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
npj Antimicrobials and Resistance
title Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
title_full Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
title_fullStr Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
title_full_unstemmed Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
title_short Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
title_sort challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
url https://doi.org/10.1038/s44259-024-00068-x
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AT cesardelafuentenunez challengesandapplicationsofartificialintelligenceininfectiousdiseasesandantimicrobialresistance