Arshed Ali Quyyumi

This study identifies immune programs linked to leuprolide-associated cardiovascular risk in prostate cancer patients through spatial transcriptomic and immune-stromal profiling.

The paper identifies a human antibody profile inversely associated with adverse cardiovascular events in two cohorts, showing it predicts higher risk when levels are low.

This study identifies metabolic pathways associated with stress hyperglycemia during cardiac surgery using longitudinal metabolomics and machine learning.

The paper analyzes genetic ancestry and population structure in the All of Us Research Program cohort, revealing diverse ancestry patterns and population structure.

This study shows that multi-site regulation of gene expression leads to biased eQTL fine mapping and highlights the need for joint multi-site analysis to improve accuracy.