Slim Fourati

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

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 shows that administering 4-1BB costimulatory antibodies after 96 hours post-mRNA vaccination enhances CD8 T cell responses and protection against breakthrough infections.

This study shows that replication-attenuated r3LCMV vectors enhance tumor control and survival in multiple tumor models, including immunodeficient mice, through IFN-I signaling.

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

The paper introduces the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets for comparative vaccine response analysis.

The paper identifies a pre-vaccination transcriptional state linked to pro-inflammatory genes that predicts higher antibody responses to multiple vaccines.

The paper identifies a monocyte-derived transcriptome signature linked to antibody-dependent cellular phagocytosis as a correlate of vaccine-induced protection against HIV-1 in clinical trials.

The paper identifies an IL-15 response signature in vaccinated rhesus macaques that correlates with protection against SIV challenge following RhCMV/SIV vaccination.