Harnessing Artificial Intelligence to Disrupt Bacterial Resistance Strategies

المؤلفون

  • 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.

الكلمات المفتاحية:

AI Techniques, Diagnostics, Antimicrobial Resistance, Treatment.

الملخص

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.

التنزيلات

منشور

2025-09-30

كيفية الاقتباس

Ayit, A. S., & AL-Khikani, F. H. O. (2025). Harnessing Artificial Intelligence to Disrupt Bacterial Resistance Strategies. (e-ISSN: 3080-7514) مجلة اللانهاية للطب والابتكار , 1(3), 79–80. استرجع في من https://journalscientific-journal.com/index.php/JIM/article/view/20

إصدار

Vol. 1 No. 3: September (2025)

القسم

Letter to the Editor

الرخصة

الحقوق الفكرية (c) 2025 (e-ISSN: 3080-7514) مجلة اللانهاية للطب والابتكار

Creative Commons License

هذا العمل مرخص بموجب 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.

المؤلفات المشابهة

1 2 > >> 

يمكنك أيضاً إبدأ بحثاً متقدماً عن المشابهات لهذا المؤلَّف.