ML‐Augmented Bayesian Optimization of Pain Induced by Microneedles

• DOI: 10.1002/adsr.202300181
• Publication Date: 2024-01-23T07:49:05Z
• Authors: Ahmed Choukri Abd...; Savas Tasoglu
• Keywords: Bayesian Optimization

Abstract Microneedles (MNs) have emerged as a promising solution for drug delivery and extraction of body fluids. Pain is an important physiological attribute to be examined when designing MNs. There no known representation pain with geometric features MN despite the focus on experimental work. This study focuses optimizing designs aim minimizing through means machine learning, finite element analysis, optimization tools. Three distinct approaches are proposed. The first approach involves training multiple regression models data obtained analysis in COMSOL. second uses COMSOL's built‐in nonlinear solver. Finally, third utilizes LiveLink interface between COMSOL MATLAB, combined Bayesian optimization. Each presents unique strengths challenges, demonstrating significant promise due its efficiency, practicality, time‐saving.