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Molecular Medicine Reports|April 13, 2021
Zinc‑finger E‑box‑binding homeobox 1 alleviates acute kidney injury by activating autophagy and the AMPK/mTOR pathwayDehua Sun, Xiaohua Liu, Lijuan Zhu, et al.International Journal of Laboratory Hematology|August 14, 2023
Comparison of the performance of two automatic cell morphology analyzers for peripheral-blood leukocyte morphology analysis: Mindray MC-100i and Sysmex DI-60Shihong Zhang, Yongjian He, Wenjing Wu, et al.Clinica Chimica Acta; International Journal of Clinical Chemistry|April 14, 2022
A deep learning-based system for assessment of serum quality using sample imagesChao Yang, Dongling Li, Dehua Sun, et al.Clinical Reviews in Allergy & Immunology|January 17, 2025
Exosomes in Autoimmune Diseases: A Review of Mechanisms and Diagnostic ApplicationsLina Duan, Wanying Lin, Yi Zhang, et al.Annals of Translational Medicine|April 18, 2022
Screening for malignant tumor cells in serous effusions with an automatic hematology analyzer using a novel diagnostic algorithmDehua Sun, Xinru Mao, Taixue An, et al.Proteomics|April 6, 2019
Unique Protein Profiles of Extracellular Vesicles as Diagnostic Biomarkers for Early and Advanced Non-Small Cell Lung CancerTaixue An, Sihua Qin, Dehua Sun, et al.International Journal of Nanomedicine|February 5, 2021
EDTA-K<sub>2</sub> Improves the Detection Sensitivity of SARS-CoV-2 IgM and IgG Antibodies by Chelating Colloidal Gold in the Immunochromatographic AssayXiumei Hu, Changmeng Wu, Bo Situ, et al.Journal of Clinical Laboratory Analysis|June 29, 2020
Heat inactivation of serum interferes with the immunoanalysis of antibodies to SARS-CoV-2Xiumei Hu, Taixue An, Bo Situ, et al.Clinica Chimica Acta; International Journal of Clinical Chemistry|January 31, 2024
Performance of the digital cell morphology analyzer MC-100i in a multicenter study in tertiary hospitals in ChinaHong Jiang, Wei Xu, Wei Chen, et al.BMC Medical Informatics and Decision Making|February 11, 2025
A novel method for screening malignant hematological diseases by constructing an optimal machine learning model based on blood cell parametersDehua Sun, Wei Chen, Jun He, et al.Pageof 1