This study combines artificial intelligence (AI) and microfluidics to fabricate synthetic polymeric particles. Machine learning, specifically artificial neural networks (ANNs), was used to predict the size of poly(D,L-lactide-co-glycolide) (PLGA) microparticles produced by various microfluidic systems. The ANN models considered factors like PLGA concentration and flow rates to predict particle size with high accuracy, offering a rapid and economical platform for producing PLGA microparticles of defined sizes for biomedical and pharmaceutical applications.
Publisher
Scientific Reports
Published On
Nov 11, 2020
Authors
Safa A. Damiati, Damiano Rossi, Haakan N. Joensson, Samar Damiati
Tags
Artificial Intelligence
Microfluidics
Polymeric Particles
Machine Learning
Biomedical Applications
PLGA Microparticles
Artificial Neural Networks
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