We’re thrilled to introduce Communications Medicine’s first closed collection: “Antimicrobial Resistance”. This curated set of articles brings together innovative research and expert perspectives aimed at tackling one of the most pressing challenges in global health—antimicrobial resistance. From molecular insights to behavioral strategies, this collection offers a comprehensive view of the field.

A Word from Our Guest Editor

To set the stage, here’s what our Guest Editor, Dr. Tim Rawson, has to say about the importance of this collection:

“This collection brings together groundbreaking work across a range of themes required to help us mitigate the impact of antimicrobial resistance on human health. The collection ranges from molecular biology characterising drug-resistant infection in neonatal units through to behavioural aspects of how we communicate to the public. It has been a privilege to help curate such broad, representative, and impactful research.”
— Dr. Tim Rawson, Guest Editor and Editorial Board Member

Editor’s Picks: Highlights from the Collection

Building on this vision, our Guest Editor has selected a few standout articles that showcase the diversity and depth of research featured in the collection:

• Overcoming challenges in the economic evaluation of interventions to optimise antibiotic use | Communications Medicine
  “To create a sustainable change in antimicrobial use we need to generate evidence of impact. An important element of impact is ensuring that there are economic benefits from optimising the way that we use antibiotics.”
  — Dr. Tim Rawson, Guest Editor and Editorial Board Member

• Antibiotic-resistant organisms establish reservoirs in new hospital built environments and are related to patient blood infection isolates | Communications Medicine
  “Understanding the link between hospital environment and AMR in individual patients is critical for protecting patient pathways and has traditionally been challenging to investigate. This paper demonstrates direct correlation between the environmental reservoirs and bloodstream infections in a newly built intensive care unit.”
  — Dr. Tim Rawson, Guest Editor and Editorial Board Member

• Personalized antibiograms for machine learning driven antibiotic selection | Communications Medicine
  “To improve antibiotic prescribing, we need to take a more individualised approach to antibiotic selection. This study explores the use of machine learning to support bespoke antibiotic selection in patients with urinary tract infections.”
  — Dr. Tim Rawson, Guest Editor and Editorial Board Member

Explore More

These featured studies are just a glimpse of what the collection offers. Dive into the full collection here:
https://www.nature.com/collections/eaeifjgajd

Acknowledgements

This collection wouldn’t have been possible without the dedication of our contributing authors and reviewers. We invite you to share this collection with your network and join the conversation. For more exciting calls for papers, visit:
https://www.nature.com/commsmed/calls-for-papers

Contact Us

If you’d like to learn more or discuss these topics further, please reach out:

• Handling Editor: Dr. Katharine Barnes
• Commissioning Editor: Ms. Rebecca Shen
• Managing Editor: Ms. Chloe Wang