Rachel Cavill

This study shows that initial tumor composition influences resistance evolution and treatment outcomes in NSCLC, with resistance fitness effects varying based on initial resistant cell proportion.

This study identifies two epigenomic subtypes of late-onset Alzheimer's disease with distinct microglial and neuronal methylation signatures, linking them to different inflammatory and functional pathways.

CEAM is a tool for analyzing DNA methylation data to identify cell type-specific patterns, validated on neurodegenerative disease datasets.

This study models platelet calcium signaling using recurrent neural networks and partial least squares to predict and interpret calcium response patterns under various agonist conditions.

The paper develops a multivariate methylation risk score using blood DNA methylation data to predict dementia risk and cognitive impairment in Alzheimer's and Parkinson's disease cohorts.