Danziger Lab

Emory University

PHYSICAL MEDICINE & REHAB

Atlanta · United States

NIH-funded
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NIH R01 · 2025

A new hybrid modeling framework combining biophysics and deep learning to predict and optimize peripheral neuromodulation outcomes in lower urinary tract disease

Project Summary There is huge potential benefit for peripheral neuromodulation to treat lower urinary tract (LUT) dysfunction through highly targeted interventions. But development and optimization of therapies have been slow, we believe, because we lack the ability to predict the system level, functional response of the LUT to different types and parameterizations of nerve stimulation. Without such an ability, the only recourse is to explore the vast space of possible neuromodulation therapies in animal models, which is slow and expensive. The goal of this project is to invent a predictive model that can assess orders of magnitude more parameterizations through computer simulation, so we…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.

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