New AI tool predicts how cells choose their future—helping uncover hidden drivers of development

New AI tool predicts how cells choose their future—helping uncover hidden drivers of development

What are the first steps that chart the path for a cell to become a blood cell, neuron cell, or pigment cell? Scientists have developed increasingly powerful tools to track those changes, but one challenge has persisted: understanding not just where cells are headed, but which regulators steer them to their final fate.

New AI framework predicts how cells make fate decisions

Scientists at the Stowers Institute for Medical Research, Helmholtz Munich, the Technical University of Munich, and the University of Oxford have developed RegVelo - a new AI framework that simultaneously models cellular dynamics and gene regulation, enabling researchers to predict, simulate, and experimentally validate how cells make fate decisions.

New AI tool predicts how cells choose their future, helping uncover hidden drivers of development

/PRNewswire/ -- What are the first steps that chart the path for a cell to become a blood cell, neuron cell, or pigment cell? Scientists have developed...

New AI Tool from Stowers Institute and Helmholtz Munich Unveils How Cells

In a groundbreaking advancement at the intersection of developmental biology and artificial intelligence, researchers from the Stowers Institute for Medical Research, Helmholtz Munich, the Technical University of Munich, and the University of Oxford have unveiled RegVelo, an innovative AI-driven framework designed to unravel the complex dynamics that steer cellular fate decisions. Published in Cell on May 11, 2026, this collaborative study intro…

RegVelo AI Model Predicts Cell Fate, Tackles Developmental Disorders and Cancer

In a new study published in Cell titled, “RegVelo: gene-regulatory-informed dynamics of single cells,” researchers from Stowers Institute of Medical Research have developed a new AI model that connects two areas of single-cell biology that have often remained separate: estimating how cells change over time and inferring the gene regulatory networks controlling those changes.   “You can imagine if you had a very early set of cells, having a parti…