Dejan Juric

This study creates a biliary tract cancer cell line atlas using multi-omics data to identify molecular subtypes and therapeutic targets.

This study identifies immune cell types and biomarkers in irMyocarditis using single-cell RNA sequencing and TCR analysis across heart, blood, and tumor tissues.

This study examines the evolutionary dynamics of peritoneal metastases in colorectal cancer, finding they are more heterogeneous than liver metastases but less diverse than locoregional metastases.

ENLIGHT predicts patient response to targeted and immunotherapies using tumor transcriptomes without prior treatment response data, showing better accuracy than existing transcriptomics-based signatures.

This study uses deep learning to analyze aortic dimensions from MRI and identifies genetic loci associated with aortic diameter, highlighting SVIL as a key gene and developing a polygenic score for aneurysm risk.

This study creates a single-cell and spatial atlas of autopsy tissues from COVID-19 patients, revealing altered cellular responses and potential therapeutic targets.

The paper uses scRNA-seq to analyze 85,000 retinal cells from humans, identifies 58 cell types, and compares gene expression between fovea, peripheral retina, and macaques to study blinding diseases.