AI-powered tool predicts cell behaviors during disease and treatment

July 29, 2019
Scientists at Helmholtz Zentrum M√ľnchen have developed a tool that promises to reshape the way we study disease and disease treatment on a cellular level. Mohammad Lotfollahi, Alex Wolf and Fabian Theis at the Institute of Computational Biology developed scGen, an AI-powered tool for predicting a cell's behavior in silico. scGen will help map and study cellular response to disease and treatment beyond experimentally available data. Their work is to be published in Nature Methods. Read more
Reading level: College
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