AIMC Journal:
JAC-antimicrobial resistance

Showing 1 to 3 of 3 articles

Recent advancements in artificial intelligence applications for the mitigation of antimicrobial resistance: challenges and opportunities.

JAC-antimicrobial resistance
Antimicrobial resistance (AMR) poses a significant global public health threat, and efforts to mitigate it have been aided by artificial intelligence (AI) methods. Key areas of applications include rapid diagnostics, drug discovery and repurposing, s...

A custom GPT-based model for the automated analysis and interpretation of antimicrobial susceptibility tests in Gram-negative bacteria.

JAC-antimicrobial resistance
INTRODUCTION: Antimicrobial resistance in Gram-negative bacilli represents a growing clinical challenge that demands innovative tools to optimize antibiogram interpretation and support safe therapeutic decisions. OBJECTIVE: To develop and validate a ...

Empowering researchers and healthcare professionals in academic publishing: key insights and practical lessons from the British Society of Antimicrobial Chemotherapy (BSAC) workshop 2025.

JAC-antimicrobial resistance
The British Society of Antimicrobial Chemotherapy (BSAC) Academic Publishing Workshop, held at the Birmingham City Event Centre in the UK from 19 to 20 March 2025, provided practical guidance for early-career researchers and healthcare professionals ...