Integrating Machine Learning with Computational Fluid Dynamics Models of Orally Inhaled Drug Products (U01) Clinical Trials Not Allowed
This opportunity funds research to develop methods that combine machine learning with computational fluid dynamics (CFD) models for orally inhaled drug products (OIDPs). The goal is to address CFD bottlenecks—like long run times, limited grid resolution, heavy data handling, parameter estimation, and uncertainty quantification—to speed up alternative bioequivalence (BE) studies for generic inh…
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