Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.4
4.5
Journals
Microorganisms
Special Issues
Latest Review Papers in Antimicrobial Agents and Resistance 2024
share announcement

Latest Review Papers in Antimicrobial Agents and Resistance 2024

A special issue of Microorganisms (ISSN 2076-2607). This special issue belongs to the section "Antimicrobial Agents and Resistance".

Deadline for manuscript submissions: 30 July 2024 | Viewed by 515

Special Issue Editor

Prof. Dr. Maurizio Ciani

E-Mail Website
Guest Editor
Department of Life and Environmental Science, Polytechnic University of Marche, Ancona, Italy
Interests: yeast fermentation processes; wine and beer fermentation; yeast physiology; bioprocess; biomass recycling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to collect high-quality review papers on all fields of associated with antimicrobial agents and resistance. We encourage researchers to contribute review papers (preferably full-length comprehensive reviews) highlighting the latest developments in relation to antimicrobial agents and resistance or to invite relevant experts and colleagues to do so.

Prof. Dr. Maurizio Ciani
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. Microorganisms 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 2700 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 agents
  • antibacterial agents
  • antifungal agents
  • antiparasitic agents
  • resistance properties of microorganisms
  • antibiotic resistance
  • multidrug resistance

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Review

25 pages, 936 KiB  
Review
Tackling the Antimicrobial Resistance “Pandemic” with Machine Learning Tools: A Summary of Available Evidence
by Doris Rusic, Marko Kumric, Ana Seselja Perisin, Dario Leskur, Josipa Bukic, Darko Modun, Marino Vilovic, Josip Vrdoljak, Dinko Martinovic, Marko Grahovac and Josko Bozic
Microorganisms 2024, 12(5), 842; https://0-doi-org.brum.beds.ac.uk/10.3390/microorganisms12050842 - 23 Apr 2024
Viewed by 344
Abstract
Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face in the future. There have been various attempts to preserve the efficacy of existing antimicrobials, develop new and efficient antimicrobials, manage infections with multi-drug resistant strains, and improve [...] Read more.
Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face in the future. There have been various attempts to preserve the efficacy of existing antimicrobials, develop new and efficient antimicrobials, manage infections with multi-drug resistant strains, and improve patient outcomes, resulting in a growing mass of routinely available data, including electronic health records and microbiological information that can be employed to develop individualised antimicrobial stewardship. Machine learning methods have been developed to predict antimicrobial resistance from whole-genome sequencing data, forecast medication susceptibility, recognise epidemic patterns for surveillance purposes, or propose new antibacterial treatments and accelerate scientific discovery. Unfortunately, there is an evident gap between the number of machine learning applications in science and the effective implementation of these systems. This narrative review highlights some of the outstanding opportunities that machine learning offers when applied in research related to antimicrobial resistance. In the future, machine learning tools may prove to be superbugs’ kryptonite. This review aims to provide an overview of available publications to aid researchers that are looking to expand their work with new approaches and to acquaint them with the current application of machine learning techniques in this field. Full article
(This article belongs to the Special Issue Latest Review Papers in Antimicrobial Agents and Resistance 2024)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop