Casey P. Shannon

This study integrates spatiotemporal data from skin and blood to reveal BCG-induced molecular networks and predictive biomarkers of vaccine response.

This study identifies immune subtypes in hospitalized COVID-19 patients linked to clinical outcomes and long COVID risk through longitudinal multi-omics analysis.

This study identifies immune programs linked to COVID-19 severity and mortality through longitudinal multi-omics analysis of 1,152 hospitalized patients.

The paper identifies protein biomarkers for spinal cord injury severity and recovery using proteomic analysis of human and porcine samples, showing high predictive accuracy.

DIABLO identifies multi-omics biomarker panels to distinguish phenotypic groups, showing better biological enrichment than other methods in simulated and real datasets.

This paper introduces a multi-response Gaussian model to predict peripheral whole blood composition from Affymetrix Gene ST expression profiles, outperforming existing methods on this platform.