Paper Contents
Abstract
Antimicrobial resistance (AMR) represents a significant global health crisis, primarily fueled by the misuse and overuse of antibiotics across various sectors, resulting in the emergence of resistant microorganisms. The origins of AMR can be traced back to the introduction of penicillin, with the rise of multidrug-resistant pathogens presenting major challenges to healthcare systems globally. The inappropriate use of antibiotics in human medicine, veterinary practices, and agriculture fosters the proliferation of resistance genes, creating what has been termed a Silent Pandemic that could outpace other mortality causes by 2050.AMR impacts both human and animal health, complicating the treatment of infections caused by resistant pathogens. Various mechanisms, including enzymatic alteration and biofilm development, allow microbes to resist the effects of antibiotics. The dwindling availability of effective antibiotics endangers routine medical procedures and could result in millions of fatalities annually if not addressed.The economic repercussions of AMR are significant, with estimated losses reaching trillions of dollars, imposing substantial financial strains on healthcare systems and agriculture. Researchers are exploring the potential of artificial intelligence to combat AMR by enhancing diagnostics and treatment approaches; however, challenges related to data quality and algorithmic bias remain.To tackle AMR effectively, a One Health strategy is essential, incorporating considerations of human, animal, and environmental influences. This approach entails improving surveillance systems, promoting stewardship initiatives, and investing in research and development for novel antimicrobial agents. Public education, awareness campaigns, and international cooperation are vital for combating AMR and ensuring the continued effectiveness of antibiotics for future generations.
Copyright
Copyright © 2025 ushu hangi jadhaoSubhangi Arjun Jadhao. This is an open access article distributed under the Creative Commons Attribution License.
