Romina Appierdo

The paper introduces CORAL, a deep learning framework for RNA-protein interaction prediction that improves generalization and interpretability through cross-attention mechanisms.

This study compares transcriptomes of early onset preeclampsia and placenta accreta, finding inverse gene expression in key cell types and pathways at the maternal-fetal interface.

The paper integrates transcriptomic data from 10 autoimmune diseases to identify core immune mechanisms and disease-specific signatures, revealing shared and distinct immunopathological patterns through 15 immune modules.