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Changsheng Shi

Showing results (21-30 of 38) with videos related to

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Frontiers in Pharmacology|March 20, 2025
Efficient substructure feature encoding based on graph neural network blocks for drug-target interaction predictionGuojian Deng, Changsheng Shi, Ruiquan Ge, et al.
Cancer Biology & Therapy|April 25, 2020
LncRNA OIP5-AS1 promotes cell proliferation and migration and induces angiogenesis via regulating miR-3163/VEGFA in hepatocellular carcinomaChangsheng Shi, Qing Yang, Songsong Pan, et al.
Cell Cycle (Georgetown, Tex.)|December 6, 2021
LncRNA ASB16-AS1 drives proliferation, migration, and invasion of colorectal cancer cells through regulating miR-185-5p/TEAD1 axisMingxu Yu, Changsheng Shi, Dingyin Xu, et al.
Frontiers in Oncology|April 17, 2023
A novel therapeutic strategy of combined camrelizumab and apatinib for the treatment of advanced hepatocellular carcinomaQing Yang, Gengyu Li, Xiaoqiu Wu, et al.
Stem Cells International|November 28, 2022
Human Placenta-Derived Mesenchymal Stem Cells Ameliorate Diabetic Neuropathy via Wnt Signaling PathwaySongsong Pan, Sushant S Hada, Yang Liu, et al.
Frontiers in Neuroscience|September 11, 2025
A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's diseaseXiangyu Shen, Xiangyang Hu, Renfeng Zhang, et al.
Current Microbiology|January 8, 2026
Changes in Soil Fungal Communities Following Exogenously Added Tobacco Mosaic Virus DiseaseSuoni Liu, Tingting Mu, Changsheng Shi, et al.
Journal of Nanobiotechnology|June 27, 2023
Nano hydrogel-based oxygen-releasing stem cell transplantation system for treating diabetic footLiangmiao Chen, Bingru Zheng, Yizhou Xu, et al.
Insights Into Imaging|January 26, 2026
Multiregional MRI-based deep learning radiomics to predict axillary response after neoadjuvant chemotherapy in breast cancer patientsWeiyue Chen, Guihan Lin, Yi Zhou, et al.
Academic Radiology|April 2, 2025
Multiparametric MRI-based Interpretable Machine Learning Radiomics Model for Distinguishing Between Luminal and Non-luminal Tumors in Breast Cancer: A Multicenter StudyYi Zhou, Guihan Lin, Weiyue Chen, et al.
Pageof 4

Showing results (21-30 of 38) with videos related to

Sort By:
Pageof 4
Frontiers in Pharmacology|March 20, 2025
Efficient substructure feature encoding based on graph neural network blocks for drug-target interaction predictionGuojian Deng, Changsheng Shi, Ruiquan Ge, et al.
Cancer Biology & Therapy|April 25, 2020
LncRNA OIP5-AS1 promotes cell proliferation and migration and induces angiogenesis via regulating miR-3163/VEGFA in hepatocellular carcinomaChangsheng Shi, Qing Yang, Songsong Pan, et al.
Cell Cycle (Georgetown, Tex.)|December 6, 2021
LncRNA ASB16-AS1 drives proliferation, migration, and invasion of colorectal cancer cells through regulating miR-185-5p/TEAD1 axisMingxu Yu, Changsheng Shi, Dingyin Xu, et al.
Frontiers in Oncology|April 17, 2023
A novel therapeutic strategy of combined camrelizumab and apatinib for the treatment of advanced hepatocellular carcinomaQing Yang, Gengyu Li, Xiaoqiu Wu, et al.
Stem Cells International|November 28, 2022
Human Placenta-Derived Mesenchymal Stem Cells Ameliorate Diabetic Neuropathy via Wnt Signaling PathwaySongsong Pan, Sushant S Hada, Yang Liu, et al.
Frontiers in Neuroscience|September 11, 2025
A lightweight triple-modal fusion network for progressive mild cognitive impairment prediction in Alzheimer's diseaseXiangyu Shen, Xiangyang Hu, Renfeng Zhang, et al.
Current Microbiology|January 8, 2026
Changes in Soil Fungal Communities Following Exogenously Added Tobacco Mosaic Virus DiseaseSuoni Liu, Tingting Mu, Changsheng Shi, et al.
Journal of Nanobiotechnology|June 27, 2023
Nano hydrogel-based oxygen-releasing stem cell transplantation system for treating diabetic footLiangmiao Chen, Bingru Zheng, Yizhou Xu, et al.
Insights Into Imaging|January 26, 2026
Multiregional MRI-based deep learning radiomics to predict axillary response after neoadjuvant chemotherapy in breast cancer patientsWeiyue Chen, Guihan Lin, Yi Zhou, et al.
Academic Radiology|April 2, 2025
Multiparametric MRI-based Interpretable Machine Learning Radiomics Model for Distinguishing Between Luminal and Non-luminal Tumors in Breast Cancer: A Multicenter StudyYi Zhou, Guihan Lin, Weiyue Chen, et al.
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