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Enhanced Extraction of Low-Molecular Weight DNA from Wastewater for Comprehensive Assessment of Antimicrobial Resistance
Published on: July 19, 2024
Addressing antimicrobial resistance: Current challenges, emerging strategies, and an AI-powered, community-driven
Peter Wang1,2,3, Alton Hsiung2,3, Christiana Fraise2,3
1Department of Biomedical Engineering, College of Design and Engineering, National University of Singapore, Singapore 117583.
Abstract:
The rising incidence of antimicrobial resistance (AMR) has threatened global public health with a high mortality rate. In parallel, the de-incentivization for further investment, regulatory constraints, and overuse/misuse of antibiotics have accelerated the progression of AMR. Together, these factors have contributed to the declining efficacy of a wide spectrum of antibiotics and the increasing prevalence of drug resistance that outpaced AMR-specific drug development. More importantly, even with substantial historical investments in antibiotic discovery over several decades, the development of clinically actionable, novel antibiotics has remained limited. In this article, we present the challenges of addressing AMR and outline emerging strategies that may reduce its burden. While advanced therapies, including bacteriophage therapy, have demonstrated promising results, complementary strategies that integrate emerging technologies and engage diverse stakeholders are needed. Building on this vision, we propose the potential role of AI-powered platforms in supporting and accelerating AMR-specific drug development alongside a community-driven approach that engages scientists, policymakers, health economists, clinicians, and patients to help address existing scientific and translational challenges. Furthermore, this article offers an inclusive strategy with key considerations, including educational and public health interventions, government-led programs, and health economics, which together could potentially tackle the threat of AMR along with AI-powered solutions.
Insights
Antimicrobial resistance (AMR) is a growing global threat due to declining antibiotic efficacy and limited drug development. AI-powered platforms and community engagement offer promising strategies to accelerate new antibiotic discovery and combat AMR.
Area of Science:
- Microbiology
- Pharmacology
- Public Health
Background:
- Antimicrobial resistance (AMR) poses a significant global health threat with high mortality rates.
- Declining antibiotic efficacy and limited novel drug development are exacerbated by de-incentivized investment and regulatory hurdles.
- Existing antibiotic discovery efforts have yielded limited clinically actionable, novel antibiotics.
Purpose of the Study:
- To outline the multifaceted challenges in addressing antimicrobial resistance (AMR).
- To present emerging strategies and innovative solutions for combating AMR.
- To propose the integration of AI and community-driven approaches for accelerated AMR drug development.
Main Methods:
- Review of current challenges in AMR and antibiotic development.
- Exploration of advanced therapies like bacteriophage therapy.
- Proposal of AI-powered platforms and multi-stakeholder engagement strategies.
Main Results:
- Advanced therapies show promise, but complementary strategies are essential.
- AI-powered platforms can significantly support and accelerate AMR-specific drug development.
- A community-driven approach involving diverse stakeholders is crucial for addressing scientific and translational challenges.
Conclusions:
- Addressing AMR requires an inclusive strategy combining emerging technologies with broad stakeholder engagement.
- AI-powered solutions, alongside educational, public health, and economic interventions, can tackle the AMR threat.
- Collaborative efforts are vital to overcome scientific and translational barriers in developing new antibiotics.
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