Margherita Francescatto

This paper introduces a base editing platform for simultaneous gene knockout and transgene integration in T cells, showing higher efficiency and reduced chromosomal translocations compared to CRISPR-Cas9.

The paper presents a multi-omics dataset for genetic subtypes of frontotemporal dementia to identify molecular mechanisms disrupted in the disease.

This study identifies 12,111 SNPs associated with height from 5.4 million individuals, explaining most common SNP-based heritability and showing ancestry-specific prediction accuracy.

This study identifies 13 genome-wide significant loci associated with SARS-CoV-2 infection or severe COVID-19 through a global meta-analysis of 49,562 patients.

The paper introduces INF, a multi-omics framework that improves cancer classification by integrating gene expression, protein, and copy number data, achieving better accuracy and smaller feature sets than single-omics models.

This study evaluates the reproducibility of AI algorithms in digital pathology using the DAPPER framework, analyzing accuracy and feature stability across multiple deep learning models and datasets.