Hamidreza Houri

This study identifies 125 consistently dysregulated genes across multiple HCC datasets, highlighting shared and unique molecular signatures associated with different etiologies.

This study evaluates the diagnostic potential of periodontal pathogens and circulating miRNAs for pancreatic cancer, finding a combined model with high predictive accuracy.

This study uses machine learning to diagnose Alzheimer's Disease by analyzing biomarkers and clinical features, finding high accuracy with KNN, SVM, RF, and DT models.