Doraiswami Ramkrishna

The paper introduces a hybrid framework combining mechanistic models and machine learning to solve high-dimensional population balance equations for cell-state dynamics.

The paper introduces a cybernetic-inspired modeling framework to analyze the transcriptional regulation of the mammalian cell cycle, identifying functional network modules and predicting future cell cycles.

This paper uses bifurcation theory to analyze how paclitaxel induces hyperexcitability in DRG neurons, identifying Nav1.8 and delayed rectifier potassium channels as critical factors.

This paper uses bifurcation theory to model pain sensation threshold variability in neurons and shows how parameters influence this threshold.