Michael J. Muriello

This paper introduces a semantic embedding framework to predict genetic variant pathogenicity using natural language descriptions and pre-trained models, achieving high accuracy across multiple genes.

The paper develops a cell-based assay to identify pathogenic CAD variants and identifies 11 individuals likely to benefit from uridine therapy.