This article "Squidiff: predicting cellular development and responses to perturbations using a diffusion model" is published in Nature Methods.Author: Siyu HeJournal: Nature MethodsYear: 2025Podcast type: ShortThe authors are:Siyu HeYuefei ZhuDaniel Naveed TavakolHaotian YeYeh-Hsing LaoZixian ZhuCong XuShradha ChauhanGuy GartyRaju TomerGordana Vunjak-NovakovicJames ZouElham AziziKam W. LeongAffiliations:Siyu He, Yuefei Zhu, Daniel Naveed Tavakol, Yeh-Hsing Lao, Zixian Zhu, Cong Xu, Raju Tomer, Gordana Vunjak-Novakovic, Elham Azizi, Kam W. Leong, Department of Biomedical Engineering, Columbia University, New York, NY, USASiyu He, Elham Azizi, Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USASiyu He, James Zou, Department of Biomedical Data Science, Stanford University, Stanford, CA, USAHaotian Ye, James Zou, Department of Computer Sciences, Stanford University, Stanford, CA, USAYeh-Hsing Lao, Department of Pharmaceutical Sciences, University at Buffalo, Buffalo, NY, USAShradha Chauhan, Raju Tomer, Department of Biological Sciences, Columbia University, New York, NY, USAGuy Garty, Center for Radiological Research, Columbia University, New York, NY, USAGordana Vunjak-Novakovic, Elham Azizi, Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USAJames Zou, Department of Electrical Engineering, Stanford University, Stanford, CA, USAElham Azizi, Department of Computer Sciences, Columbia University, New York, NY, USAElham Azizi, Data Science Institute, Columbia University, New York, NY, USAKam W. Leong, Department of Systems Biology, Columbia University Irving Medical Center, New York, NY, USASiyu He, Yuefei Zhu, Daniel Naveed Tavakol, These authors contributed equally.

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