Assessing Biomaterial-Induced Stem Cell Lineage Fate by Machine Learning-Based Artificial Intelligence.

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第一作者： Yingying,Zhou

第一单位： Department of Dental Materials and Dental Medical Devices Testing Center, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China.

作者： Yingying,Zhou ^[1] ; Xianfeng,Ping ^[2] ; Yusi,Guo ^[2] ; Boon Chin,Heng ^[3] ; Yijun,Wang ^[2] ; Yanze,Meng ^[4] ; Shengjie,Jiang ^[2] ; Yan,Wei ^[3] ; Binbin,Lai ^[1] ; Xuehui,Zhang ^[2] ; Xuliang,Deng ^[1]

作者单位： Department of Dental Materials and Dental Medical Devices Testing Center, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China. ^[1] National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, NMPA Key Laboratory for Dental Materials, Beijing Laboratory of Biomedical Materials, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China. ^[2] Central Laboratory, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China. ^[3] Department of Geriatric Dentistry, Peking University School and Hospital of Stomatology, Beijing, 100081, P. R. China. ^[4] Biomedical Engineering Department, Peking University, Beijing, 100191, P. R. China. ^[5] Department of Dermatology and Venereology, Peking University First Hospital, Beijing, 100034, P. R. China. ^[6]

关键词 artificial intelligence gene expression pattern lineage fate machine learning mesenchymal stem cells regenerative biomaterials