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Shaodian Zhang
Observed name:
Zhang, Shaodian
Institutions:
Shanghai Senyi Medical Technology (China),
Second Affiliated Hospital of Soochow University,
Shanghai Tenth People's Hospital
Observed institutions:
Soochow University,
Shanghai Senyi Medical Technology (China),
Second Affiliated Hospital of Soochow University,
Shanghai Tenth People's Hospital,
State Key Laboratory of Radiation Medicine and Protection
ORCID:
0000-0003-1805-2872
Observed ORCID:
0000-0003-1805-2872
OpenAlex ID:
A5102762973
Chemotherapy-Sensitized In Situ Vaccination for Malignant Osteosarcoma Enabled by Bioinspired Calcium Phosphonate Nanoagents
2023
·
Yangyun Wang
, Yanxian Wu
, et al.
·
ACS Nano
·
44
Preclinical safety and hepatotoxicity evaluation of biomineralized copper sulfide nanoagents
2022
·
Ya-Nan Xia
, He Zu
, et al.
·
Journal of Nanobiotechnology
·
23
PDF
Development and validation of machine learning models for venous thromboembolism risk assessment at admission: a retrospective study
2023
·
Wenbo Sheng
, Xiaoli Wang
, et al.
·
Frontiers in Cardiovascular Medicine
·
19
PDF
A novel hierarchical machine learning model for hospital-acquired venous thromboembolism risk assessment among multiple-departments
2021
·
Handong Ma
, Wenbo Sheng
, et al.
·
Journal of Biomedical Informatics
·
17
Iodinated BSA Nanoparticles for Macrophage-Mediated CT Imaging and Repair of Gastritis
2021
·
Yanxian Wu
, Jun Gu
, et al.
·
Analytical Chemistry
·
16
Gadolinium-Bisphosphonate Nanoparticle-Based Low-Dose Radioimmunotherapy for Osteosarcoma
2022
·
Shaodian Zhang
, Yanxian Wu
, et al.
·
ACS Biomaterials Science & Engineering
·
15
Hepatotoxicity of Copper Sulfide Nanoparticles Towards Hepatocyte Spheroids Using A Novel Multi-Concave Agarose Chip Method
2021
·
Tianyan Jiang
, Haoxiang Guo
, et al.
·
Nanomedicine
·
14
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data
2022
·
Handong Ma
, Zhecheng Dong
, et al.
·
Journal of Biomedical Informatics
·
8
PDF
Toward Detecting Unnecessary Radiology Tests: Identifying Positive Findings through Text Classification of Chinese Radiology Reports (Preprint)
2019
·
Mingyu Zhu
, Gen Gu
, et al.
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Works count:
11
Citation count:
156
H-index:
8
I10-index:
7
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