Cameron Beeche

This paper uses GWAS and mediation analysis on CT-derived phenotypes to show genetic variants influence disease through intermediate imaging traits.

The paper investigates organ-specific and modality-specific aging clocks using proteomic and imaging data, revealing distinct biological processes and their roles in age-related diseases.

The paper develops a deep learning method to quantify 3D aortic geometry in large biobanks, expanding available phenotypes for studying aortic degeneration.

The paper uses reduced order modeling of aortic hemodynamics from CT scans to identify clinically relevant associations with vascular diseases in a biobank.