Supervised machine learning for predicting drug release from acetalated dextran nanofibers
Ryan N. Woodring, Elizabeth G. Graham-Gurysh, Tanvi Pulipaka, Kevin E. Shilling, Rebeca T. Stiepel, Erik S. Pena, Eric M. Bachelder, Kristy M. Ainslie
Abstract
release profiles from thirty electrospun Ace-DEX scaffolds. The results of GPR model simulations reveal consistent performance across all Ace-DEX formulations considered in this study while also demonstrating a drug-agnostic approach to predict fractional drug release over time.
Topics & Concepts
DextranDrugNanofiberChemistryComputer scienceArtificial intelligenceChromatographyPharmacologyNanotechnologyMaterials scienceMedicineMicrofluidic and Capillary Electrophoresis Applications