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HL-BscPF: Hybrid learning facilitates brain cell auto-identification in multiple pathologies.

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第一作者： Zizheng,Suo

第一单位： Department of anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer hospital, Chinese Academy of Medical Sciences and Peking union medical college, Beijing 100021, PR China.

作者： Zizheng,Suo ^[1] ; Bocheng,Pan ^[2] ; Hailong,Shi ^[2] ; Linhui,Ma ^[1] ; Yuxiang,Zheng ^[1] ; Wenjie,Xu ^[1] ; Lina,Lin ^[1] ; Enze,Zhang ^[1] ; Lijuan,Wang ^[1] ; Mingzhu,Zhang ^[1] ; Yinyin,Qu ^[3] ; Hui,Zheng ^[1] ; Xingyu,Gao ^[4] ; Cheng,Ni ^[5]

作者单位： Department of anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer hospital, Chinese Academy of Medical Sciences and Peking union medical college, Beijing 100021, PR China. ^[1] Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China. ^[2] Department of Anesthesiology, Peking University Third Hospital, Beijing 100191, PR China. ^[3] Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, PR China; University of Chinese Academy of Sciences, Beijing 100049, PR China. Electronic address: gxy9910@gmail.com. ^[4] Department of anesthesiology, National Cancer Center / National Clinical Research Center for Cancer / Cancer hospital, Chinese Academy of Medical Sciences and Peking union medical college, Beijing 100021, PR China. Electronic address: nicheng@cicams.ac.cn. ^[5]

关键词 Alzheimer's disease Autoencoder HL-BscPF Multi-head self-attention Postoperative cognitive dysfunction Single-cell RNA sequencing

医学主题词人类(Humans);脑(Brain);单细胞分析(Single-Cell Analysis);阿尔茨海默病(Alzheimer Disease);神经元(Neurons);人工智能(Artificial Intelligence)

DOI 10.1016/j.lfs.2025.123751

PMID 40414555

发布时间 2025-07-21

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