Area of research
Molecular Biology · Obstetrics and Gynecology
Research interest
Research interests include Metabolism, Diabetes, and Cancer, Endometrial and Cervical Cancer Treatments, Cancer-related Molecular Pathways, and Pancreatic function and diabetes.
Association of Allergic Conjunctivitis With Health-Related Quality of Life in Children and Their Parents
Prenatal exposure to air pollution and the risk of macrosomia: Identifying windows of susceptibility
Breast Cancer Resistance to Cyclin-Dependent Kinases 4/6 Inhibitors: Intricacy of the Molecular Mechanisms
Circulating tumor cells in cancer patients: developments and clinical applications for immunotherapy
Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing
Efficacy and Safety of MEDI2070, an Antibody Against Interleukin 23, in Patients With Moderate to Severe Crohn’s Disease: A Phase 2a Study
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