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Junyu Zhou

Showing results (1-10 of 91) with videos related to

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Current Developments in Nutrition|May 11, 2026
The Potential Mediating Role of HDL-Cholesterol Concentrations in the Association between Physical Activity and Depression: A Nationwide Population-Based StudyJunyu Zhou, Bingqing Guan
Nutrients|May 14, 2025
Genetic Variants, Bioactive Compounds, and PCSK9 Inhibitors in Hyper-LDL-Cholesterolemia: A GWAS and In Silico Study on Cardiovascular Disease RiskMeiling Liu, Junyu Zhou, Sunmin Park
Food & Function|August 29, 2024
Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysisJunyu Zhou, Heng Yuan, Sunmin Park
Nutrients|January 8, 2025
Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction RiskJunyu Zhou, Meiling Liu, Sunmin Park
Postgraduate Medical Journal|March 24, 2025
Genetically predicted effects of COVID-19 on 2272 traits: exploring through a phenome-wide Mendelian randomization studyJunyu Zhou, Yi Ge, Jing Yu, et al.
Journal of Computer-Aided Molecular Design|April 8, 2026
Computational framework to quantify synergistic ligand activity in insulin secretion and resistance pathways in type 2 diabetesJunyu Zhou, Xunbin Wei, Meiling Lui, et al.
Soft Robotics|January 6, 2025
Small-Scale Soft Terrestrial Robot with Electrically Driven Multi-Modal Locomotion CapabilityJian Yang, Junyu Zhou, Fan Xu, et al.
Food & Function|April 2, 2026
SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validationJunyu Zhou, Chen Li, Meiling Liu, et al.
Computers in Biology and Medicine|December 10, 2024
Natural compounds for Alzheimer's prevention and treatment: Integrating SELFormer-based computational screening with experimental validationJunyu Zhou, Yong Kwan Kim, Chen Li, et al.
Foods (Basel, Switzerland)|January 11, 2025
Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer's Disease TherapyJunyu Zhou, Chen Li, Yong Kwan Kim, et al.
Pageof 10

Showing results (1-10 of 91) with videos related to

Sort By:
Pageof 10
Current Developments in Nutrition|May 11, 2026
The Potential Mediating Role of HDL-Cholesterol Concentrations in the Association between Physical Activity and Depression: A Nationwide Population-Based StudyJunyu Zhou, Bingqing Guan
Nutrients|May 14, 2025
Genetic Variants, Bioactive Compounds, and PCSK9 Inhibitors in Hyper-LDL-Cholesterolemia: A GWAS and In Silico Study on Cardiovascular Disease RiskMeiling Liu, Junyu Zhou, Sunmin Park
Food & Function|August 29, 2024
Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysisJunyu Zhou, Heng Yuan, Sunmin Park
Nutrients|January 8, 2025
Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction RiskJunyu Zhou, Meiling Liu, Sunmin Park
Postgraduate Medical Journal|March 24, 2025
Genetically predicted effects of COVID-19 on 2272 traits: exploring through a phenome-wide Mendelian randomization studyJunyu Zhou, Yi Ge, Jing Yu, et al.
Journal of Computer-Aided Molecular Design|April 8, 2026
Computational framework to quantify synergistic ligand activity in insulin secretion and resistance pathways in type 2 diabetesJunyu Zhou, Xunbin Wei, Meiling Lui, et al.
Soft Robotics|January 6, 2025
Small-Scale Soft Terrestrial Robot with Electrically Driven Multi-Modal Locomotion CapabilityJian Yang, Junyu Zhou, Fan Xu, et al.
Food & Function|April 2, 2026
SELFormer-guided discovery of xanthohumol and cirsilineol as multi-target natural therapeutics for type 2 diabetes: computational prediction and experimental validationJunyu Zhou, Chen Li, Meiling Liu, et al.
Computers in Biology and Medicine|December 10, 2024
Natural compounds for Alzheimer's prevention and treatment: Integrating SELFormer-based computational screening with experimental validationJunyu Zhou, Yong Kwan Kim, Chen Li, et al.
Foods (Basel, Switzerland)|January 11, 2025
Bioinformatics and Deep Learning Approach to Discover Food-Derived Active Ingredients for Alzheimer's Disease TherapyJunyu Zhou, Chen Li, Yong Kwan Kim, et al.
Pageof 10