Ilaria Iuliani

This study identifies sex-specific genetic and environmental contributions to retinal vascular traits through GWAS and interaction analyses, highlighting the need for sex-aware approaches in precision medicine.

The paper develops a mechanistic model of bacterial growth that incorporates amino acid pools, ppGpp sensing, and transcriptional regulation, showing oscillatory dynamics during environmental changes.

The paper develops a deep learning model to measure carotid lumen diameter from ultrasounds and performs GWAS, finding cLD has higher heritability and stronger associations with cardiovascular risk factors than cIMT.

The paper analyzes retinal vascular phenotypes from fundus images and their genetic and disease associations using UK Biobank data, finding novel links between vascular features and health outcomes.

The paper investigates the early expression dynamics of horizontally transferred genes in E. coli, finding that H-NS binding correlates with silencing while some promoters exhibit high noise due to transcriptional interference.