Hannah R. Schwartz

This study uses estimated structural and functional connectivity networks from MRI and AI to predict cognition in multiple sclerosis patients, finding strong predictive accuracy for follow-up scores.

This study quantifies drug-induced growth inhibition and cell death using live/dead cell counting and introduces drug GRADE to analyze their relationship, revealing drug- and genotype-specific responses.

The paper identifies antagonistic drug interactions in cancer therapy by analyzing death activation kinetics, finding that single agent dominance occurs due to differences in cell death onset time.