Aging
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Author Spotlight: Automated Lifespan Monitoring – Discovering Aging Dynamics with the Lifespan Machine
Published on: January 26, 2024
Brenna Osborne1, Daniela Bakula1, Michael Ben Ezra1
1Center for Healthy Aging, Department of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
Cutting-edge technologies are revolutionizing ageing research. New model organisms, high-throughput methods, and machine learning offer critical insights into ageing mechanisms and diseases.
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