Zeeshan Ahmed

This study shows that hepatic ketogenesis reduces cardiac hypertrophy in HFpEF by maintaining beta-hydroxybutyrate levels, which modulate myocardial metabolism.

This paper introduces 3D IntelliGenes, a tool for visualizing AI/ML results on multi-omics data to discover biomarkers and predict diseases through 3D clustering and feature analysis.

VAREANT is a bioinformatics tool that simplifies variant data preprocessing, annotation, and AI/ML preparation for genomic analysis.

The paper develops a multimodal AI/ML framework to identify biomarkers and predict cardiovascular disease using multi-omics data, finding a 27-component signature with high predictive accuracy.

This study identifies 18 significant transcriptomic biomarkers for cardiovascular disease with 96% accuracy using a combination of statistical tests and machine learning classifiers.

The paper integrates gene expression, genetic variants, and clinical data from high-risk Heart Failure patients to identify differentially expressed genes and functionally relevant mutations associated with CVD.

The paper develops a gene-disease-code database linking ICD codes with ACMG-approved genes to support genomic and clinical data integration for precision medicine.