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Lingyu Jiang

Researcher at University of the Sciences

Publications -  18
Citations -  4600

Lingyu Jiang is an academic researcher from University of the Sciences. The author has contributed to research in topics: Yersinia pestis & Yersinia pseudotuberculosis. The author has an hindex of 9, co-authored 16 publications receiving 3479 citations. Previous affiliations of Lingyu Jiang include Huazhong University of Science and Technology.

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Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

TL;DR: This study conducted a retrospective multicenter study of 68 death cases and 82 discharged cases with laboratory-confirmed infection of SARS-CoV-2 and confirmed that some patients died of fulminant myocarditis, which is characterized by a rapid progress and a severe state of illness.
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Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China

TL;DR: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China shows clear trends in survival and morbidity.
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pH/temperature sensitive magnetic nanogels conjugated with Cy5.5-labled lactoferrin for MR and fluorescence imaging of glioma in rats

TL;DR: In vivo studies on rats bearing in situ glioma indicated that the MR/fluorescence imaging with high sensitivity and specificity could be acquired using Cy5.5-Lf-MPNA nanogels due to active targeting function of the Lf and enhancement of cellular uptake by tailoring the hydrophilic/hydrophobic properties of the Nanogels.
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Monoclonal Antibody–Conjugated Superparamagnetic Iron Oxide Nanoparticles for Imaging of Epidermal Growth Factor Receptor–Targeted Cells and Gliomas

TL;DR: The preferential accumulation of the EGFRmAb-SPIONs within glioma and subsequent MRI contrast enhancement were demonstrated both in vitro in C6 cells and in vivo in rats bearing C6 gliomas, suggesting EGFRs could potentially be employed as a targeted contrast agent in the molecule-specific diagnosis of brain gli cancer in MRI.