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Yanting Liang

Showing results (31-40 of 68) with videos related to

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Molecular Biology and Evolution|December 12, 2024
Evolutionary Novelty of Apolipoprotein D Facilitates Metabolic Plasticity in Lepidopteran WingsShunze Jia, Rongqiao Li, Yinghui Li, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 15, 2025
Draper-ATG3 Interaction Positively Regulates Autophagy to Mediate Silk Gland Degradation in Bombyx moriShiyu Zou, Yuhan Luo, Yue Jin, et al.
Life Science Alliance|January 4, 2023
An essential Noc3p dimerization cycle mediates ORC double-hexamer formation in replication licensingAftab Amin, Rentian Wu, Muhammad Ajmal Khan, et al.
Academic Radiology|April 5, 2023
Use of Pretreatment Multiparametric MRI to Predict Tumor Regression Pattern to Neoadjuvant Chemotherapy in Breast CancerChen Liu, Xiaomei Huang, Xiaobo Chen, et al.
European Radiology|May 12, 2023
CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancerSuyun Li, Zhenhui Li, Li Wang, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 22, 2024
Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI StudyJiayi Liao, Zeyan Xu, Yu Xie, et al.
Journal of Inflammation Research|November 17, 2021
Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes DensityYao Xu, Xiaoying Lou, Yanting Liang, et al.
BMC Cancer|June 26, 2021
The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control studyYanting Liang, Yaxi Zhu, Huan Lin, et al.
The American Journal of the Medical Sciences|July 7, 2024
Long-term trends in lifestyle factors among respondents with dyslipidemia in the United StatesBingqing Bai, Quanjun Liu, Yuting Liu, et al.
Quantitative Imaging in Medicine and Surgery|December 18, 2023
Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter studyRong Zhang, Minping Hong, Hongjie Cai, et al.
Pageof 7

Showing results (31-40 of 68) with videos related to

Sort By:
Pageof 7
Molecular Biology and Evolution|December 12, 2024
Evolutionary Novelty of Apolipoprotein D Facilitates Metabolic Plasticity in Lepidopteran WingsShunze Jia, Rongqiao Li, Yinghui Li, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)|September 15, 2025
Draper-ATG3 Interaction Positively Regulates Autophagy to Mediate Silk Gland Degradation in Bombyx moriShiyu Zou, Yuhan Luo, Yue Jin, et al.
Life Science Alliance|January 4, 2023
An essential Noc3p dimerization cycle mediates ORC double-hexamer formation in replication licensingAftab Amin, Rentian Wu, Muhammad Ajmal Khan, et al.
Academic Radiology|April 5, 2023
Use of Pretreatment Multiparametric MRI to Predict Tumor Regression Pattern to Neoadjuvant Chemotherapy in Breast CancerChen Liu, Xiaomei Huang, Xiaobo Chen, et al.
European Radiology|May 12, 2023
CT morphological features for predicting the risk of lymph node metastasis in T1 colorectal cancerSuyun Li, Zhenhui Li, Li Wang, et al.
Journal of Magnetic Resonance Imaging : JMRI|August 22, 2024
Assessing Axillary Lymph Node Burden and Prognosis in cT1-T2 Stage Breast Cancer Using Machine Learning Methods: A Retrospective Dual-Institutional MRI StudyJiayi Liao, Zeyan Xu, Yu Xie, et al.
Journal of Inflammation Research|November 17, 2021
Predicting Neoadjuvant Chemoradiotherapy Response in Locally Advanced Rectal Cancer Using Tumor-Infiltrating Lymphocytes DensityYao Xu, Xiaoying Lou, Yanting Liang, et al.
BMC Cancer|June 26, 2021
The value of the tumour-stroma ratio for predicting neoadjuvant chemoradiotherapy response in locally advanced rectal cancer: a case control studyYanting Liang, Yaxi Zhu, Huan Lin, et al.
The American Journal of the Medical Sciences|July 7, 2024
Long-term trends in lifestyle factors among respondents with dyslipidemia in the United StatesBingqing Bai, Quanjun Liu, Yuting Liu, et al.
Quantitative Imaging in Medicine and Surgery|December 18, 2023
Predicting the pathological invasiveness in patients with a solitary pulmonary nodule via Shapley additive explanations interpretation of a tree-based machine learning radiomics model: a multicenter studyRong Zhang, Minping Hong, Hongjie Cai, et al.
Pageof 7