Eucharist Kun

This study uses deep learning on UK Biobank DXA data to analyze the genetic architecture of pelvic morphology, finding heritable traits and genetic correlations related to the obstetrical dilemma.

This paper uses deep learning to phenotype knee osteoarthritis from medical images, improving GWAS power and polygenic risk score prediction compared to traditional methods.

The paper uses deep learning on DXA images to identify genetic variants affecting skeletal proportions and links these to evolutionary changes and disease risk.