Daniel Woo

ERICH-GENE collects and analyzes genomic and neuroimaging data from over 10,000 multi-ethnic ICH cases to identify genetic risk factors and trans-ethnic variation in ICH.

This study identifies CPI203, a BET inhibitor, as a compound that consistently down-regulates DNA synthesis genes across multiple glioblastoma lines.

This study shows lower hemoglobin levels increase hematoma expansion and poor outcomes in intracerebral hemorrhage using human data and a mouse model.

The paper performs deep resequencing of the 1q22 locus in non-lobar ICH cases and controls to identify causal variants and mechanisms.

This paper develops a genomic risk score for intracerebral hemorrhage using genome-wide association data and validates its predictive power in multiple cohorts.

This paper develops a radiomic signature from T2-FLAIR MRI images to predict white matter hyperintensities burden and links it to clinical phenotypes.

This study identifies sex-specific lesion patterns in acute ischemic stroke that correlate with stroke severity, highlighting differences in lesion distribution between men and women.

The paper identifies subtype-specific genetic loci associated with stroke subtypes and finds heterogeneity in their effects across different stroke types.

The paper presents an automated pipeline for quantifying white matter hyperintensity in acute ischemic stroke cohorts, showing improved accuracy and enabling large-scale analysis.