PERSPECTIVE article
Front. Cell. Infect. Microbiol.
Sec. Bacteria and Host
This article is part of the Research TopicAdvances in Diagnostic Platforms for Rapid Detection of Multidrug-Resistant Bacterial InfectionsView all 4 articles
Advances in diagnostic methods for detection of bloodstream pathogens and antibiotic resistance determinants
Provisionally accepted
- 1Luminex (United States), Austin, United States
- 2Diasorin, Austin, United States
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This Perspective highlights the growing threat of multidrug-resistant bacteria in bloodstream infections and explores the role of various diagnostic technologies in the early identification of bacterial pathogens and antibiotic resistance genes. We review current diagnostic approaches and their applications in surveillance, infection control, and antimicrobial stewardship. Rapid detection of bloodstream pathogens and resistant organisms enables clinicians to promptly tailor treatment, improve patient outcomes, reduce complications, and shorten hospital stays. Emerging innovations in machine learning, artificial intelligence, whole genome sequencing, and point-of-care molecular diagnostics hold great promise for enhancing the detection and management of these serious infections.
Keywords: Bloodstream infection (BSI), Sepsis - Diagnostics, Antimicrobial resistance (AMR), Molecular diagnostics, Antimicrobial stewardship (AMS), diagnostic stewardship
Received: 15 Oct 2025; Accepted: 21 Nov 2025.
Copyright: © 2025 Dunbar, Benavides and Gardner. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Sherry A. Dunbar, sdunbar@luminexcorp.com
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