C. L. Hisey

This paper uses manifold learning on Raman spectra to quantify EV mixtures and demonstrate its applicability to other Raman spectroscopy applications.

This study shows that CELLine AD 1000 bioreactors can consistently produce EVs from multiple breast cancer subtypes, with stable core protein content over time.

The paper develops a method to classify preeclamptic and normotensive placental extracellular vesicles using nanoplasmonic sensors and machine learning.

The paper optimizes microfluidic geometry for extracellular vesicle capture using automated parallel pattern search, finding that larger pillars with spacing improve capture efficiency.

The paper develops a method to increase EV yield from breast cancer cells and identifies potential RNA biomarkers for HER2+ breast cancer.