Hadasa Kaufman

This study evaluates using Large Language Models for causal gene identification, showing improvements with Retrieval-Augmented Generation and genomic distance information, but with diminishing returns when combined.

DROP-DEEP improves polygenic risk score prediction by using deep learning for dimensionality reduction, outperforming traditional methods on hypertension and other traits.