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Food Chemistry: X
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February 13, 2026
Mitigating degradation of frying oil and oil absorption of French fries caused by α-tocopherol and γ-oryzanol incorporation into rice bran oil
Hai-Long Zhang, Meng-Qing Xu, Kai Zhang, et al.
ACS Applied Bio Materials
|
January 13, 2022
Light-Induced Caspase-3-Responsive Chimeric Peptide for Effective PDT/Chemo Combination Therapy with Good Compatibility
Yong-Li Mu, Jin Zhang, Meng-Qing Xu, et al.
Cancer Management and Research
|
June 18, 2020
A Nomogram Based on Preoperative Clinical Bio-Indicators to Predict 5-year Survivals for Patients with Gastric Cancer After Radical Gastrectomy
Qi Hang Yin, Bin Zheng Liu, Meng Qing Xu, et al.
Medicine
|
December 10, 2021
Combination of preoperative CA19-9 levels, cell differentiation, and age predicts survival for patients with gastric cancer before surgery
Hui Hui Yin, Meng Qing Xu, Bin Zheng Liu, et al.
American Journal of Translational Research
|
September 15, 2022
Predicting prognosis for patients with ESCC before surgery by SVMs ranking with nomogram analyses
Zhi Sheng Jiang, Meng Qing Xu, Zhuang Zhuang Cong, et al.
Cancer Management and Research
|
December 16, 2020
Preoperative Combined Prediction Models Have Superior Capability in Predicting Survival as the Child-Pugh Grade in Patients with HCC after Interventional Embolotherapy
Meng Qing Xu, Jin Jin Dai, Zhi Sheng Jiang, et al.
American Journal of Translational Research
|
May 13, 2022
Active Stat3 and Her-2 as combined survival predictors show superiority to TNM staging system for postoperative patients with gastric cancer
Ke Sun, Meng Qing Xu, Hai Jun Zhang, et al.
Plos One
|
July 21, 2022
Age-related twin-peak prevalence profiles of H. pylori infection, gastritis, GIN and gastric cancer: Analyses of 70,534 patients with gastroscopic biopsies
Meng Qing Xu, Ke Sun, Chong Cao, et al.
JMIR Cancer
|
October 23, 2025
Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study
Meng Qing Xu, Zhi Sheng Jiang, Wan Yu Liao, et al.
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of 1
Search research articles
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Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Food Chemistry: X
|
February 13, 2026
Mitigating degradation of frying oil and oil absorption of French fries caused by α-tocopherol and γ-oryzanol incorporation into rice bran oil
Hai-Long Zhang, Meng-Qing Xu, Kai Zhang, et al.
ACS Applied Bio Materials
|
January 13, 2022
Light-Induced Caspase-3-Responsive Chimeric Peptide for Effective PDT/Chemo Combination Therapy with Good Compatibility
Yong-Li Mu, Jin Zhang, Meng-Qing Xu, et al.
Cancer Management and Research
|
June 18, 2020
A Nomogram Based on Preoperative Clinical Bio-Indicators to Predict 5-year Survivals for Patients with Gastric Cancer After Radical Gastrectomy
Qi Hang Yin, Bin Zheng Liu, Meng Qing Xu, et al.
Medicine
|
December 10, 2021
Combination of preoperative CA19-9 levels, cell differentiation, and age predicts survival for patients with gastric cancer before surgery
Hui Hui Yin, Meng Qing Xu, Bin Zheng Liu, et al.
American Journal of Translational Research
|
September 15, 2022
Predicting prognosis for patients with ESCC before surgery by SVMs ranking with nomogram analyses
Zhi Sheng Jiang, Meng Qing Xu, Zhuang Zhuang Cong, et al.
Cancer Management and Research
|
December 16, 2020
Preoperative Combined Prediction Models Have Superior Capability in Predicting Survival as the Child-Pugh Grade in Patients with HCC after Interventional Embolotherapy
Meng Qing Xu, Jin Jin Dai, Zhi Sheng Jiang, et al.
American Journal of Translational Research
|
May 13, 2022
Active Stat3 and Her-2 as combined survival predictors show superiority to TNM staging system for postoperative patients with gastric cancer
Ke Sun, Meng Qing Xu, Hai Jun Zhang, et al.
Plos One
|
July 21, 2022
Age-related twin-peak prevalence profiles of H. pylori infection, gastritis, GIN and gastric cancer: Analyses of 70,534 patients with gastroscopic biopsies
Meng Qing Xu, Ke Sun, Chong Cao, et al.
JMIR Cancer
|
October 23, 2025
Predicting Postoperative Recurrence Using a Support Vector Machine for Patients With Esophageal Squamous Cell Carcinoma: Machine Learning Modeling Development and Validation Study
Meng Qing Xu, Zhi Sheng Jiang, Wan Yu Liao, et al.
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of 1