Development and validation of a novel assay for the brain injury marker calbindin-B: a deep learning-based quantitative framework utilizing nanophotonic heterostructural chips for reading and quantification
Medical Journal of Chinese People′s Liberation ArmyPages: 1-11(2026)
Clinical Research|更新时间:2026-04-03
分享给微信好友或者朋友圈
导出参考文献
Development and validation of a novel assay for the brain injury marker calbindin-B: a deep learning-based quantitative framework utilizing nanophotonic heterostructural chips for reading and quantification
作者机构:
解放军总医院神经外科医学部,北京 100853
作者简介:
Email: jnzhang2018@163.com
基金信息:
the National Natural Science Foundation of China(T2394483)
Wang Yu-Xin,Liu Jia-Yu,Su Shi-Chao,et al.Development and validation of a novel assay for the brain injury marker calbindin-B: a deep learning-based quantitative framework utilizing nanophotonic heterostructural chips for reading and quantification[J].Medical Journal of Chinese People′s Liberation Army,
Wang Yu-Xin,Liu Jia-Yu,Su Shi-Chao,et al.Development and validation of a novel assay for the brain injury marker calbindin-B: a deep learning-based quantitative framework utilizing nanophotonic heterostructural chips for reading and quantification[J].Medical Journal of Chinese People′s Liberation Army,DOI:10.11855/j.issn.0577-7402.2647.2026.0323.
Development and validation of a novel assay for the brain injury marker calbindin-B: a deep learning-based quantitative framework utilizing nanophotonic heterostructural chips for reading and quantification
Effect and mechanism of sufentanil on neuroinflammation in rats with traumatic brain injury
Advances in the application of deep learning for the diagnosis and treatment of osteonecrosis of the femoral head
Progress of the application of deep learning in degenerative cervical myelopathy
Protective effect of secreted secretomes derived from three-dimensional cultured mesenchymal stem cells on mouse hippocampal neurons with seawater immersion and trauma
Advances in application of artificial intelligence in diagnosis and progress prediction of knee osteoarthritis
Related Author
Sheng Yu
Shi Dong-Hai
Fu Jia-Hao
Chen Hao
Xi Hong-Zhong
Liu Cheng-Lin
Wu Yao-Kun
Liu Xin
Related Institution
Department of Anesthesiology, Tangshan Maternal and Child Health Hospital
Department of Anesthesiology, Tianjin Huanhu Hospital
Department of Orthopaedics, Jiangsu Provincial Hospital of Traditional Chinese Medicine
Department of Orthopaedics, Affiliated Hospital of Nanjing University of Chinese Medicine
Department of Orthopedics, the Second Affiliated Hospital of Zunyi Medical University