Esther Melamed

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.

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 shows that alcohol induces concentration-dependent transcriptomic changes in oligodendrocytes, affecting pathways like myelination and inflammation.

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.

This study identifies widespread linear molecular mimicry across the human virome, linking it to autoimmunity, particularly in multiple sclerosis, and suggests therapeutic strategies targeting viral infections.