Rapid Antibiotic Susceptibility Testing

A special issue of Antibiotics (ISSN 2079-6382).

Deadline for manuscript submissions: 15 July 2024 | Viewed by 153

Special Issue Editors


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Guest Editor
Shamoon College of Engineering, Beer Sheba, Israel
Interests: FTIR-microscopy; infrared spectroscopy; fluorescence spectroscopy; Raman; biomedical applications; machine learning; medical physics; optical diagnostics

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Guest Editor
Afeka Tel Aviv Academic College of Engineering, Tel Aviv-Yafo, Israel
Interests: machine learning; unsupervised learning; biomedical applications; optical diagnostics

Special Issue Information

Dear Colleagues,

Bacterial infections are responsible for a variety of diseases, and antibiotics serve as the primary line of treatment. Unfortunately, the prevalence of antibiotic resistance among various bacterial species poses a significant challenge, resulting in difficult-to-treat infections.

The main reason behind the development of multi-drug-resistant bacteria is the long duration required for laboratory results to determine bacterial antibiotic susceptibility. Hence, the rapid identification of bacterial antibiotic resistance is crucial. Current methods used for detecting antibiotic resistance are costly and time-consuming (lasting 48–72 hours). Rapid approaches have a high impact on multiple fronts, including ensuring timely and potentially life-saving treatment for patients, limiting the development and spread of multi-drug-resistant bacteria, and reducing the duration of illness and treatment. This, in turn, helps lower healthcare costs and eases the economic burden on families and society.

This Special Issue extends an invitation for original research articles and reviews, seeking to collate a comprehensive collection of papers on efficient methodologies for determining antimicrobial susceptibility. The goal is to showcase advancements that revolutionize our ability to promptly and accurately identify antibiotic resistance, fostering a more effective and efficient approach toward bacterial infection management. Researchers are encouraged to contribute their insights, innovations, and findings to propel the field forward, ultimately enhancing patient outcomes and addressing the global challenge of antibiotic resistance.

Prof. Dr. Ahmad Salman
Prof. Dr. Itshak Lapidot
Guest Editors

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. Antibiotics 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 2900 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

  • bacterial infection
  • antibiotic
  • multi-drug resistance
  • bacterial susceptibility to antimicrobials
  • bacterial culturing
  • spectroscopy
  • machine learning

Published Papers

This special issue is now open for submission.
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