Pierre Machart

This study identifies conserved T-cell targets across betacoronaviruses using machine learning and validates their immunogenicity through functional assays and mRNA vaccination in mice.

This paper introduces TCRPPO2, an AI-driven framework for optimizing TCR affinity, showing improved activity in engineered TCRs against tumor antigens.

DISCERN improves cell clustering and subtype detection by reconstructing missing gene expression, identifying novel T cell types in COVID-19 and predicting disease severity.

This paper introduces cscGANs for generating realistic single cell RNA-seq data to augment sparse datasets, improving analysis outcomes and reducing experimental costs.