Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Medicine, Computer science, Biology, Computational biology, Machine learning, and Osteoarthritis.
Advancing biological understanding of cellular senescence with computational multiomics
Dilution of Molecular–Pathologic Gene Signatures by Medically Associated Factors Might Prevent Prediction of Resection Status After Debulking Surgery in Patients With Advanced Ovarian Cancer
Low‐Grade Inflammation in Symptomatic Knee Osteoarthritis: Prognostic Value of Inflammatory Plasma Lipids and Peripheral Blood Leukocyte Biomarkers
Plasma levels of interleukin-1 receptor antagonist (IL1Ra) predict radiographic progression of symptomatic knee osteoarthritis
Ultra-scalable and efficient methods for hybrid observational and experimental local causal pathway discovery
A comprehensive empirical comparison of modern supervised classification and feature selection methods for text categorization
Information content and analysis methods for Multi-Modal High-Throughput Biomedical Data
A comprehensive evaluation of multicategory classification methods for microbiomic data
Medical decision support using machine learning for early detection of late-onset neonatal sepsis
Microbiomic Signatures of Psoriasis: Feasibility and Methodology Comparison
Regression of Atherosclerosis Is Characterized by Broad Changes in the Plaque Macrophage Transcriptome
New methods for separating causes from effects in genomics data