Alessandra Breschi

This paper introduces an EHR foundation model integrating Polygenic Risk Scores to improve disease prediction and personalized healthcare using All of Us data.

The paper identifies a conserved transcriptional program across metazoan lineages that drives cell differentiation, independent of lineage-specific factors.

The paper identifies five major cell types based on transcriptional programs in human tissues and shows their composition correlates with tissue morphology and disease.

The paper identifies bsAS, an antisense lncRNA, as a regulator of bs/DSRF isoform expression, essential for cell fate determination in Drosophila development.

The paper analyzes miRNA expression dynamics across mouse embryonic development, identifying tissue-specific clusters and their regulatory roles.

This study compares the epigenomes of neutrophils and monocytes to identify regulatory elements and chromatin states, revealing differences in enhancer activity and DNA methylation.

The paper analyzes RNA-seq data from multiple mouse tissues to identify genes with conserved expression patterns across species and cell types, revealing evolutionary constraints in gene expression.