Year: 2025
Type: article
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.
Author: Odile Patrick Thalia
Institution: Kampala International University
Language: English
Subfield: Molecular Medicine
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4408946503