Research at Ventrion Lab

Cutting-edge student-led cardiovascular research, combining experimental, computational, and clinical insights.

Preclinical MI Risk Detection

Developing non-invasive paper-based platforms for early myocardial infarction detection through advanced biomarker sensitivity.

Temporal Network Analysis

Human–zebrafish studies identifying hub gene drivers in congenital heart defects to map developmental cardiac pathways.

AI-Based Risk Modeling

Utilizing non-diagnostic predictive models for cardiovascular risk assessment using exploratory machine learning algorithms.