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Emerging Technologies in Antimicrobial Resistance Research

Odile Patrick Thalia

2025 · DOI: 10.59298/rijep/2025/413035
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TLDR

Key technological advancements, including metagenomics, high-throughput screening, and machine learning, in addressing AMR challenges are examined, finding that these technologies provide promising solutions.

Abstract

Antimicrobial resistance (AMR) is a growing global health crisis, exacerbated by the overuse of antimicrobial agents and the stagnation in new drug development. Emerging technologies such as genomics, proteomics, artificial intelligence, and nanotechnology are transforming AMR research by enabling rapid detection, surveillance, and novel treatment strategies. This paper examines key technological advancements, including metagenomics, high-throughput screening, and machine learning, in addressing AMR challenges. While these technologies provide promising solutions, challenges such as ethical concerns, data management complexities, and regulatory hurdles persist. A multidisciplinary approach integrating genetics, computer science, and public health policies is essential for effective AMR mitigation.

Keywords: Antimicrobial resistance, emerging technologies, genomics, proteomics, machine learning, drug discovery.