Drug Release Modeling
Published in AAPS PharmSciTech
In collaboration with Bausch Health
For polymer-based controlled release drug products, active pharmaceutical ingredient distribution and microporosity inside the polymer matrix are critical for product performance. In this study, controlled release poly(lactic-co-glycolic acid) microspheres are investigated with focused ion beam scanning electron microscope imaging at high resolution. Image data is quantified with artificial intelligence-based image analytics to provide size distributions of drug particles and pores within the microsphere sample. With an innovative image-based numerical simulation method, release profiles are predicted in a matter of days.
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