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Medicine|October 31, 2023
Meningitis and sepsis caused by Streptococcus suis in an elderly woman: A CARE-compliant case reportKuangyi Li, Shilan Li, Jiana Hong, et al.
Nuclear Medicine Communications|April 23, 2013
18F-FLT PET/CT imaging is not competent for the pretreatment evaluation of metastatic gastric cancer: a comparison with 18F-FDG PET/CT imagingMin Zhou, Chenchen Wang, Silong Hu, et al.
Life Sciences|July 21, 2026
Mertk-dependent immune regulation is required for the therapeutic effects of fecal microbiota transplantation in a mouse model of constipation-predominant irritable bowel syndromeCunbo Yu, Jie Yu, XueLi Yao, et al.
Annals of Nuclear Medicine|February 26, 2018
The feasibility of 18F-FES and 18F-FDG microPET/CT for early monitoring the effect of fulvestrant on sensitizing docetaxel by downregulating ERα in ERα+ breast cancerShuai Liu, Bingxin Gu, Jianping Zhang, et al.
Journal of Materials Chemistry. B|April 9, 2020
Hydrophilic graphene oxide/bismuth selenide nanocomposites for CT imaging, photoacoustic imaging, and photothermal therapyYixue Zhang, Hao Zhang, Yanke Wang, et al.
Annals of Nuclear Medicine|March 10, 2021
18F-FLT PET/CT imaging for early monitoring response to CDK4/6 inhibitor therapy in triple negative breast cancerGuang Ma, Cheng Liu, Weiling Lian, et al.
Oncotarget|September 5, 2015
18F-fluorodeoxyglucose (FDG) PET/CT after two cycles of neoadjuvant therapy may predict response in HER2-negative, but not in HER2-positive breast cancerJingyi Cheng, Yujie Wang, Miao Mo, et al.
Clinical Laboratory|February 19, 2025
Thrombelastography and Serum Homer1 to Assess Hemorrhagic Transformation After Thrombolysis in Acute Ischemic StrokeZhangRong Liang, WeiWei Liang, Miao Zhou, et al.
BMC Public Health|February 26, 2024
The threaten of typhoons to the health of residents in inland areas: a study on the vulnerability of residents to death risk during typhoon "Lekima" : In Jinan, ChinaYiwen Ma, Xianhui Zhang, Yingjian Zhang, et al.
Frontiers in Digital Health|April 2, 2026
Development and interpretable machine learning models for classification of pancreatic pseudocyst risk in acute pancreatitisHailong Feng, Ping Wang, Weihan He, et al.
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