Antibiotic discovery and antibiotic prescribing represent two domains that both stand to benefit from artificial intelligence (AI)-driven progress in the near future. In this article, we discuss these parallel advances and the potential future synergy between AI-enabled antibiotic discovery and AI-assisted antibiotic prescribing. Although multiple challenges remain before these two domains meaningfully converge, their integration could amplify the strengths of each: discovery pipelines generating broader, more diverse classes of antibacterial agents, and prescribing tools capable of matching these agents to individual patients with unprecedented precision. Such a scenario could transform antibiotic therapy by enabling AI-supported, patient-specific treatment decisions while reinforcing the principles of precision medicine and antimicrobial stewardship.

The Future of Antibiotics and Artificial Intelligence: Some Thoughts from Discovery to Bedside

Grossi Alessandra Agnese
Secondo
;
2025-01-01

Abstract

Antibiotic discovery and antibiotic prescribing represent two domains that both stand to benefit from artificial intelligence (AI)-driven progress in the near future. In this article, we discuss these parallel advances and the potential future synergy between AI-enabled antibiotic discovery and AI-assisted antibiotic prescribing. Although multiple challenges remain before these two domains meaningfully converge, their integration could amplify the strengths of each: discovery pipelines generating broader, more diverse classes of antibacterial agents, and prescribing tools capable of matching these agents to individual patients with unprecedented precision. Such a scenario could transform antibiotic therapy by enabling AI-supported, patient-specific treatment decisions while reinforcing the principles of precision medicine and antimicrobial stewardship.
2025
Antibiotic discovery; Antibiotic prescribing; Antimicrobial resistance; Artificial intelligence; Deep learning; Machine learning
Giacobbe, D. R.; Grossi, Alessandra; Bassetti, M.; de la Fuente-Nunez, C.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2203879
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