Artificial intelligence application for rapid fabrication of size-tunable PLGA microparticles in microfluidics.

ABSTRACT: In this study, synthetic polymeric particles were effectively fabricated by combining modern technologies of artificial intelligence (AI) and microfluidics. Because size uniformity is a key factor that significantly influences the stability of polymeric particles, therefore, this work aimed to establish a new AI application using machine learning technology for prediction of the size of poly(D,L-lactide-co-glycolide) (PLGA) microparticles produced by diverse microfluidic systems either in the form of single or multiple particles. Experimentally, the most effective factors for tuning droplet/particle sizes are PLGA concentrations and the flow rates of dispersed and aqueous phases in microfluidics. These factors were utilized to develop five different and simple in structure artificial neura

SUBMITTER: Damiati SA 

PROVIDER: S-EPMC7658240 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature