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: 8-Jun-2026 02:16 ET (8-Jun-2026 06:16 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.
Researchers develop light-induced Asp(D)-to-Ala(A) protein editors (LIDAPEs) which enable site-specific residue editing of endogenous protein in living cells, and lay the foundation for a new class of chemical biology tools.
Harbour porpoises were once found across a much wider area of the Baltic Sea than they are today, including regions where they are now rare or absent. This is shown in a new study that uses centuries-old Swedish newspapers to reconstruct past distribution patterns.
Biologists have long puzzled over why organisms with similar numbers of protein-coding genes can differ so dramatically in nervous system complexity. New research points to a potential link between the expanding diversity of RNA-binding proteins, which shape how genetic instructions are processed, and greater brain sophistication.
Researchers develop an interpretable hybrid feature selection model to overcome the "curse of dimensionality"in genomic selection, pinpointing key genetic markers for global food security.
Konstanz molecular biologist Elke Deuerling has been admitted to the German National Academy of Sciences, the "Leopoldina". By selecting Elke Deuerling as a member, the Academy recognizes her outstanding contributions to the field of life sciences, particularly to proteostasis research.