Sulay Vora

NeuroSuite provides a non-invasive platform for long-term electrophysiological monitoring of brain organoids, revealing neural network development and activity changes.

The paper develops a fluorometric DNA polymerase activity assay that is cost-effective and accessible for resource-limited settings by using in-house reagent synthesis and low-cost equipment.

The paper develops a hybrid machine learning framework to identify TDP-43 aggregation inhibitors, discovering two compounds effective in reducing aggregation in cell and model organism assays.

The paper introduces PseudoSort, a machine learning algorithm for spike sorting, and applies it to MEA data from hippocampal neurons exposed to monomeric Tau, revealing its impact on neuronal activity.