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Harnessing AI to bridge knowledge gaps in global antimicrobial resistance efforts

  Copy link into your clipboard //science-technology.news-articles.net/content/2 .. -in-global-antimicrobial-resistance-efforts.html
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          🞛 This publication is a summary or evaluation of another publication 🞛 This publication contains editorial commentary or bias from the source
AMR is when microorganisms that cause infections, such as bacteria and viruses, change over time and no longer respond to antibiotic medicines.
The article from MSN discusses how artificial intelligence (AI) is being utilized to address the global challenge of antimicrobial resistance (AMR). AMR occurs when bacteria, viruses, fungi, and parasites evolve to resist the drugs designed to kill them, posing a significant threat to public health. AI's role includes enhancing surveillance systems to track resistance patterns, predicting outbreaks, and aiding in the development of new antibiotics. By analyzing vast datasets, AI can identify trends and correlations that might be missed by human analysts, thus helping to bridge knowledge gaps in understanding AMR. This technology also supports personalized medicine by predicting which treatments will be most effective for individual patients, thereby reducing unnecessary antibiotic use. The article highlights initiatives like the AI-driven project by the Global Antibiotic Research and Development Partnership (GARDP) and the use of AI in One Health surveillance, which considers the interconnected health of humans, animals, and the environment. Overall, AI is seen as a critical tool in the fight against AMR, offering innovative solutions to manage and mitigate this growing crisis.

Read the Full MSN Article at:
[ https://www.msn.com/en-us/science/environmental-science/harnessing-ai-to-bridge-knowledge-gaps-in-global-antimicrobial-resistance-efforts/ar-AA1xaPaB ]