New AI tool developed by Stowers Institute and Helmholtz Munich scientists predicts how cells choose their future — helping uncover hidden drivers of development
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Updates every hour. Last Updated: 3-Jun-2026 16:16 ET (3-Jun-2026 20:16 GMT/UTC)
Scientists at the Stowers Institute for Medical Research and Helmholtz Munich have developed RegVelo, a new AI framework that predicts how cells acquire their identities and identifies the genetic regulators guiding those changes. Published in Cell, the study used zebrafish neural crest development to show RegVelo can uncover early drivers of cell fate, including regulators of pigment cell formation, and then support those predictions experimentally. The researchers also applied the framework across multiple biological systems, suggesting its value extends beyond neural crest cells as a broadly useful tool for studying how cells change over time. The team says the new model could pave the way for future cell therapy treatments.
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Research from LSU’s Pennington Biomedical Research Center is part of a major international study published in Nature Human Behaviour that offers new insight into how physical activity and emotional well-being are connected in everyday life.
Researchers from Ruhr University Bochum, Paris Lodron University of Salzburg, the Karlsruhe Institute of Technology and the Central Institute of Mental Health Mannheim analyzed data sets from more than 8,000 people to investigate how physical activity is related to good mood and positive emotions. For most people, the result was that mood improves with everyday movement. At the same time, people are more physically active when they are feeling better.