Timothy M. Hughes

Polygenic risk scores for incident dementia in the Multi-Ethnic Study of Atherosclerosis

The paper evaluates polygenic risk scores for dementia prediction in diverse populations, finding that a model with fewer SNPs outperforms one with more SNPs in multiple ethnic groups.

Whole genome sequence association analysis of brain structural volume measures in the NHLBI TOPMed Program highlights novel loci in diverse participants

This study uses whole-genome sequence data from diverse participants to identify novel genetic loci associated with brain structural volumes, highlighting the importance of diverse cohorts in uncovering genetic architecture.

Advancing Fair and Explainable Machine Learning for Neuroimaging Dementia Pattern Classification in Multi-Ethnic Populations

This study addresses dementia classification bias across ethnic groups using few-shot learning and domain alignment, reducing performance gaps between White American and Hispanic cohorts.