Harnessing AI-Driven CRISPR Bioinformatics: Transforming precision diagnostics for antimicrobial resistance and chemical pathology
1 Department of Respiratory Sciences, University of Leicester, United Kingdom.
2 Department of Information Technology and Information Systems, Nile University of Nigeria, Nigeria.
3 Department of Biomedical Engineering, University of Ilorin, Kwara State, Nigeria.
4 Department of Biotechnology, University of Bedfordshire, England, United Kingdom.
5 Department of Forensic Chemistry and Toxicology, Arba Minch University, Ethiopia.
6 Department of Anatomy, University of Ilorin, Kwara State, Nigeria.
7 Department of Community Health, Obafemi Awolowo University, Ile-Ife, Osun-State, Nigeria.
Review
International Journal of Biological and Pharmaceutical Sciences Archive, 2025, 10(01), 188–205.
Article DOI: 10.53771/ijbpsa.2025.10.1.0069
Publication history:
Received on 27 July 2025; revised on 02 September 2025; accepted on 05 September 2025
Abstract:
In a world grappling with the escalating crisis of antimicrobial resistance (AMR), claiming millions of lives annually, a revolutionary fusion of artificial intelligence (AI) and CRISPR bioinformatics ignites a beacon of hope, poised to redefine precision diagnostics. This review unveils the exhilarating potential of AI-driven CRISPR technologies, which deliver lightning-fast detection of AMR genes with a staggering 95% accuracy and slash diagnostic times by 70%, empowering clinicians to outpace deadly infections. Platforms like SHERLOCK and DETECTR, supercharged by AI’s computational prowess, unravel complex resistance mechanisms and pinpoint metabolic biomarkers with unparalleled precision, transforming chemical pathology into a cornerstone of personalized medicine. From bustling urban hospitals to remote rural clinics, these innovations promise to democratize diagnostics, offering scalable, cost-effective solutions that bridge global health disparities. Yet, technical hurdles, ethical challenges, and scalability barriers loom large, demanding bold, collaborative action. This article charts a thrilling path forward, exploring how AI-CRISPR synergy can conquer AMR, revolutionize biomarker profiling, and forge a future where precision diagnostics save lives across the globe, captivating researchers, clinicians, and policymakers alike.
Keywords:
Artificial Intelligence; Crispr; Antimicrobial Resistance; Chemical Pathology; Precision Diagnostics; Bioinformatics; Biomarker Profiling; Personalized Medicine; Sherlock; Detector; Global Health Equity.
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Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0