Shirley Nieves‐Rodriguez

Machine learning-based proteogenomic data modeling identifies circulating plasma biomarkers for early detection of lung cancer

This study uses machine learning to model proteogenomic data and identifies plasma biomarkers for early lung cancer detection, achieving AUCs of 0.78-0.88 in predicting diagnosis up to 9 years before symptoms.

Single nuclei transcriptomics of muscle reveals intra-muscular cell dynamics linked to dystrophin loss and rescue

The paper develops a method to isolate nuclei from frozen muscle samples and uses single nuclei transcriptomics to study dystrophin loss and rescue in human DMD and mdx mouse muscle.