Julio A. Chirinos

The paper maps phenotypic and genetic links between plasma proteins and organ imaging traits using UK Biobank data, identifying associations and causal links across multiple organs.

This study evaluates the longitudinal behavior of organ-specific proteomic aging clocks over a decade, finding stability in age acceleration and links to subclinical risk factors and menopause in women.

The paper identifies rare protein-coding variants associated with multi-organ MRI traits using exome-wide association analysis in the UK Biobank.

This study uses Mendelian randomization to identify genetic causal links between 58 diseases, 56 imaging traits, and multiple organs across 402 imaging traits and 372 clinical outcomes.

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.