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Machine-learning-assisted selection of antibiotic prescription
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Didelot, Xavier and Pouwels, Koen B. (2019) Machine-learning-assisted selection of antibiotic prescription. Nature Medicine, 25 (7). pp. 1033-1034. doi:10.1038/s41591-019-0517-0 ISSN 1078-8956.
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Official URL: https://doi.org/10.1038/s41591-019-0517-0
Abstract
Recent years have seen a worrying increase in the levels of antibiotic resistance of many bacterial infections. Antibiotic resistance not only makes treating bacterial infections difficult but also decreases the effectiveness of antibiotic prophylaxis needed for safe surgeries, organ transplantation and cancer treatment1. There is an urgent need for new effective antibiotics; however, the antibiotic-development pipeline is dry. Without government intervention, research to develop new antibiotics is rarely profitable, and consequently most major pharmaceutical companies have left the field1. Therefore, using the antibiotics that we have at our disposal in an optimized way is crucial, to avoid the risks of both treatment failure and further increasing resistance levels2. In this issue of Nature Medicine, Yelin et al.3 describe a strategy for combating the drug resistance caused by mismatched antibiotic prescriptions in urinary tract infections (UTIs).
Item Type: | Journal Article | ||||||
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Subjects: | R Medicine > R Medicine (General) | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) | ||||||
SWORD Depositor: | Library Publications Router | ||||||
Library of Congress Subject Headings (LCSH): | Medicine -- Data processing, Medical Informatics, Machine learning, Drug resistance in microorganisms, Drug resistance in microorganisms -- Immunology | ||||||
Journal or Publication Title: | Nature Medicine | ||||||
Publisher: | Nature Publishing Group | ||||||
ISSN: | 1078-8956 | ||||||
Official Date: | 4 July 2019 | ||||||
Dates: |
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Volume: | 25 | ||||||
Number: | 7 | ||||||
Page Range: | pp. 1033-1034 | ||||||
DOI: | 10.1038/s41591-019-0517-0 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 23 July 2019 | ||||||
Date of first compliant Open Access: | 4 January 2020 |
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