Diagnostics, Antimicrobial Resistance, and Emerging Bacterial Pathogens
A special issue of Pathogens (ISSN 2076-0817). This special issue belongs to the section "Bacterial Pathogens".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 11
Special Issue Editor
2. Department of Pathology and Laboratory Medicine, University of Saskatchewan, Saskatoon, SK, Canada
Interests: antimicrobial agents/resistance; rapid diagnostics; molecular diagnostics; bacterial infections; infection stewardship
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infectious diseases continue to be a dominant global problem affecting all corners of the global population with varying morbidity and mortality. Bacterial, fungal/yeast, viral and parasitic pathogens require accurate and rapid diagnosis in order to optimize patient care but also to identify and potentially contain outbreaks, support infection prevention and control, support antimicrobial and laboratory stewardship programs and to identify new or emerging infectious disease threats. For optimization of patient care, rapid and accurate diagnostics serves a number of important roles: first, organism identification to tailor specific antimicrobial therapy; second, detection of antimicrobial resistance prompting changes to more appropriate therapy; third, the need for inpatient versus outpatient therapy thereby affecting bed management and fourth, the potential impacts on cost of therapy and therapy de-escalation. The development of various technologies with multiplex targets truly allows for syndromic testing (e.g., respiratory, gastrointestinal, sepsis, central nervous system) of multiple pathogens (bacterial, viral, yeast) simultaneously along with the detection of resistance conferring genes, often with same day results. For STAT testing, some assays yield results in 1-2 hours. Additionally, the ongoing need for advanced laboratories to develop novel assays is critical for innovation and for emerging pathogen detection. Expanding capabilities of Matrix-Assisted Laser Desorption Ionization –Time of Flight (MALDI-TOF) may contribute to the exciting developments of Artificial Intelligence (AI) in Clinical Microbiology. This Special Issue looks to bridge the areas of diagnostics, antimicrobial resistance and emerging bacterial pathogens with a collection of peer-reviewed articles that may be primary research papers, review articles or opinion pieces.
Dr. Joseph M. Blondeau
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Pathogens is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- antimicrobial resistance (AMR)
- emerging bacterial pathogens
- rapid diagnostics
- molecular diagnostics
- infection stewardship
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