AI Uncovers Vast New Sources of Potential Antibiotics
TL;DR Summary
A groundbreaking study published in Cell used machine learning to predict nearly 1 million potential new antibiotics from the global microbiome, significantly accelerating the discovery process. This advance is crucial for combating antimicrobial resistance, which caused over 1.2 million deaths in 2019 and could rise to 10 million annually by 2050. The study's data and code are freely available to advance further research, though concerns about AI's role in science and biosecurity remain.
Topics:health#ai#antibiotics#antimicrobial-resistance#machine-learning#microbiome#science-and-technology
- AI used to predict potential new antibiotics in groundbreaking study The Guardian
- Unlocking the world around us for next-gen antibiotics EurekAlert
- Machine Learning Digs Up a Treasure Trove of Antimicrobial Peptides Genetic Engineering & Biotechnology News
- AI helps find nearly a million potential antibiotic sources in nature Interesting Engineering
- Penn uses AI to uncover antibiotics in microbial dark matter Penn Medicine
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