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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In collaboration with Genentech
Long-acting drug delivery systems require lengthy in vitro testing to evaluate drug formulations and performance. Using DigiM I2S software, we demonstrate how A.I. can accurately characterize microstructures and quality attributes for a PLGA rod implant. The application of image-based release modeling, which can predict month-long release profiles in a matter of days, is also presented.