Controlling organoid symmetry breaking uncovers an excitable system underlying human axial elongationA machine learning-driven bioengineering approach generates a robust stem cell model of human axial elongation that uncovers molecular mechanisms underlying self-sustained and stable elongation.A machine learning-driven bioengineering approach generates a robust stem cell model of human axial elongation that uncovers molecular mechanisms underlying self-sustained and stable elongation.Giridhar M. Anand, Heitor C. Megale, Sean H. Murphy, Theresa Weis, Zuwan Lin, Yichun He, Xiao Wang, Jia Liu, Sharad Ramanathanhttps://www.cell.com/cell/fulltext/S0092-8674(22)01586-0?rss=yeshttp://www.cell.com/cell/inpress.rssCellCell RSS feed.Wireless News CampaignJanuary 19, 2023

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