Barry Moore

This paper introduces SimPheny, a framework that uses patient-to-patient phenotype matching to prioritize genes for rare disease diagnosis, outperforming existing methods in cases with limited phenotype associations.

The paper evaluates MPSE's performance in prioritizing NICU newborns for WGS within 48 hours using various ML classifiers, CNLP tools, and data types, finding high accuracy and flexibility.

GEM, an AI-based tool, ranks causal genes highly for rare genetic diseases, improving diagnostic efficiency and reducing manual effort.

The paper uses deep whole genome sequencing to analyze genetic variants in CDH patients and their families, revealing heterogeneous and multifactorial genetic etiology.