Researchers chart new course for AI-powered biomedical discoveries
University of Missouri researchers have published a comprehensive review on 'flow matching,' an AI technique for modeling biological changes. This method helps scientists better understand complex processes like protein folding and disease progression.
Why it matters
Advancements in AI-driven bioinformatics could significantly accelerate drug discovery and precision medicine research.
edited by Lisa Lock , reviewed by Andrew Zinin
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Add as preferred source An overview of FM and its applications in bioinformatics. Credit: Nature Machine Intelligence (2026). DOI: 10.1038/s42256-026-01220-0 University of Missouri researchers are paving the way as artificial intelligence transforms biomedical research. A team from the College of Engineering and collaborators recently published one of the most comprehensive reviews to date of an emerging AI approach for biology known as flow matching. The work, published in Nature Machine Intelligence , provides scientists around the world with a roadmap for applying the technology to accelerate drug discovery, precision medicine and other biomedical advances.
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