Harnessing Artificial Intelligence to Disrupt Bacterial Resistance Strategies

Authors

  • Aalae Salman Ayit Department of Microbiology, Al-shomali general hospital, Babylon Health directorate, Babylon, Iraq.
  • Falah Hasan Obayes AL-Khikani Department of Medical Laboratory Technology, College of Medical Technology, Islamic University, Babylon, Iraq.

Keywords:

AI Techniques, Diagnostics, Antimicrobial Resistance, Treatment.

Abstract

The Smart Resistance Hypothesis provides a fresh perspective on bacterial resistance, suggesting that bacteria are not merely reactive entities but active decision-makers. By harnessing our growing understanding of bacterial behavior and leveraging AI technologies, we may be able to outmaneuver bacteria in their own game and develop innovative treatments to combat antibiotic resistance.

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Published

2025-09-30

How to Cite

Ayit, A. S., & AL-Khikani, F. H. O. (2025). Harnessing Artificial Intelligence to Disrupt Bacterial Resistance Strategies. Infinity Journal of Medicine and Innovation, 1(3), 79–80. Retrieved from https://journalscientific-journal.com/index.php/JIM/article/view/20

Issue

Vol. 1 No. 3: September (2025)

Section

Letter to the Editor

License

Copyright (c) 2025 Infinity Journal of Medicine and Innovation

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Allows others to copy, modify, distribute, and reuse the research for any purpose (even commercially), provided that the original author is credited.

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