Carolyn S. Calfee

This paper identifies 23 candidate causal genes for critical COVID-19 by integrating severity-stratified, longitudinal cis-eQTL mapping with GWAS signals from 1,031 patients.

This study identifies white adipose tissue lipolysis and circulating fatty acids as key mediators of metabolic tolerance to infection, showing improved survival in sepsis with beta3-adrenergic agonists.

This study shows gut bacteria produce lactate that increases lung epithelial mitochondrial activity and worsens acute lung injury.

The paper identifies a multi-omics recovery factor predictive of long COVID using data from the IMPACC study, showing it can predict LC risk early after infection.

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 investigates viral reactivation in COVID-19 patients, finding associations between reactivation of specific virus families and clinical outcomes, including mortality and PASC symptoms.

The paper introduces cyMAE, a masked autoencoder for automated immunophenotyping, showing it improves accuracy and interpretability over manual methods in cytometry data analysis.

This paper develops a metagenomic sequencing approach to diagnose lower respiratory tract infections by integrating pathogen detection, microbiome analysis, and host transcriptome data.