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A multicentre, prospective, double-blind study comparing the accuracy of autoantibody diagnostic assays in myasthenia gravis: the SCREAM study.
Li Z, Zhang C, Chang T, Zhang X, Yang H, Gao F, Feng J, Liu H, Chen S, Wang L, Yang C, Li H, Pan Y, Palace J, Shi FD; SCREAM Study Investigators. Li Z, et al. Among authors: feng j. Lancet Reg Health West Pac. 2023 Jul 19;38:100846. doi: 10.1016/j.lanwpc.2023.100846. eCollection 2023 Sep. Lancet Reg Health West Pac. 2023. PMID: 37554174 Free PMC article.
Clinical Variables, Deep Learning and Radiomics Features Help Predict the Prognosis of Adult Anti-N-methyl-D-aspartate Receptor Encephalitis Early: A Two-Center Study in Southwest China.
Xiang Y, Dong X, Zeng C, Liu J, Liu H, Hu X, Feng J, Du S, Wang J, Han Y, Luo Q, Chen S, Li Y. Xiang Y, et al. Among authors: feng j. Front Immunol. 2022 Jun 1;13:913703. doi: 10.3389/fimmu.2022.913703. eCollection 2022. Front Immunol. 2022. PMID: 35720336 Free PMC article.
Repulsive Guidance Molecule-a and Central Nervous System Diseases.
Tang J, Zeng X, Li H, Ju L, Feng J, Yang J. Tang J, et al. Among authors: feng j. Biomed Res Int. 2021 May 4;2021:5532116. doi: 10.1155/2021/5532116. eCollection 2021. Biomed Res Int. 2021. PMID: 33997000 Free PMC article. Review.
Interpretable and Intuitive Machine Learning Approaches for Predicting Disability Progression in Relapsing-Remitting Multiple Sclerosis Based on Clinical and Gray Matter Atrophy Indicators.
Yan Z, Shi Z, Zhu Q, Feng J, Liu Y, Li Y, Zhou F, Zhuo Z, Ding S, Wang X, Yin F, Tang Y, Lin B, Li Y. Yan Z, et al. Among authors: feng j. Acad Radiol. 2024 Feb 29:S1076-6332(24)00054-0. doi: 10.1016/j.acra.2024.01.032. Online ahead of print. Acad Radiol. 2024. PMID: 38429188
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