Area of research
Surgery · Cardiology and Cardiovascular Medicine
Research interest
Research interests include Coronary Interventions and Diagnostics, Acute Myocardial Infarction Research, COVID-19 Clinical Research Studies, and Extracellular vesicles in disease.
Change on glycosylated hemoglob with glucagon-like peptide-1 receptor agonists affecting the progress of diabetes retinopathy in type 2 diabetes– A systematic review and meta-analysis
Effect of Liraglutide combined with Jinlida granules on glycolipid metabolism andislet function of type 2 diabetes mellitus
A Novel Multiple Risk Score Model for Prediction of Long-Term Ischemic Risk in Patients With Coronary Artery Disease Undergoing Percutaneous Coronary Intervention: Insights From the I-LOVE-IT 2 Trial
Myofibroblast-Derived Exosome Induce Cardiac Endothelial Cell Dysfunction
Case Fatality Risk of the First Pandemic Wave of Coronavirus Disease 2019 (COVID-19) in China
Exosomes derived from imatinib-resistant chronic myeloid leukemia cells mediate a horizontal transfer of drug-resistant trait by delivering miR-365
Reducing Personal Exposure to Particulate Air Pollution Improves Cardiovascular Health in Patients with Coronary Heart Disease
CAREER: Computationally Illuminating the Molecular Interplay between N-glycosylation and Ion Channel Gating
CAREER: Towards Safety-Critical Real-Time Systems with Learning Components
Collaborative Research: RUI: Structured Population Dynamics Subject to Stoichiometric Constraints
PIPP Phase I: Comprehensive, Integrated, Intelligent System for Early and Accurate Pandemic Prediction, Prevention, and Preparation at Personal and Population Levels
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
FET: CCF: Small: Computational Drug Prediction through Joint Learning
CRII: CSR: Enabling Efficient Real-Time Systems upon Multiple Parallel Resources
RAPID:Genomic Variation Analysis of Coronavirus to Better Understand the Spread of COVID-19
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype
CAREER: Associative In-Memory Graph Processing Paradigm: Towards Tera-TEPS Graph Traversal In a Box
AF: Small: Homogeneous and Heterogeneous Network Learning with Applications in Computational Biology
Developing Highly Luminescent Materials for Low-Cost and Energy-Efficient Lighting Applications
EARS: Enhancing Spectrum Efficiency of Autonomous and Agile Hybrid FSO/RF Systems
Crystalline Hybrid Semiconductors: A systematic Approach to Develop Nanostructured Materials with Enhanced Properties and New Functionality
CAREER: Transfer Learning Based Quality Improvement in Spatially-Temporally Complex Systems
A Conference on New Frontiers in Numerical Analysis and Scientific Computing