Long-Acting Ocular Implant

Long-Acting Ocular Implant

Mechanistic Understanding of Drug Release
and Evaluating Product Quality

Long-acting implants and injectables are typically formulated using carrier(s) with specific physical and chemical properties, along with the active pharmaceutical ingredient (API), to achieve the desired daily exposure for the target duration of action. In characterizing such formulations, real-time in-vitro and in-vivo experiments are lengthy, costly, and labor intensive as these implants are designed to last for 6-12 months or longer. A novel characterization technique, combining high resolution three-dimensional X-Ray microscopy imaging, image-based quantification, and image-based release simulation, has been employed to provide a mechanistic understanding of formulation and process impact on the microstructures and performance of a PLGA polymer implant. 

Artificial intelligence-based image segmentation and image data analytics were used to convert morphological features visualized at high resolution into numerical microstructure models. These digital models can be used to calculate key physical parameters governing drug transport in the polymer matrix, including API uniformity, API domain size, and permeability. This powerful new tool has the potential to advance the mechanistic understanding of interplay between drug microstructures and performance, and accelerate the development of robust drug eluting long-acting implants and controlled release formulations. 

Digital reconstruction of a long-acting PLGA ocular implant from 3D X-ray microscopy microstructure images

Digital reconstruction of a long acting implant collected using X-ray microscopy. DigiM I2S AI segmentation can be applied to study phase uniformity, particle characteristics, and porosity in 3D. 

Relevant Publications

American Association of Pharmaceutical Scientists (AAPS) PharmSci 360 Poster 2020: Accelerated Formulation Characterization and Development with AI Image Analysis and Image-Based Release Modeling for PLGA Implant
In collaboration with Genentech
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Long-Acting Injectables and Implantables (LAII) Conference Poster 2020: Micro-imaging Based Characterization and Release Prediction of a Long-Acting PLGA Implant
In collaboration with Genentech
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Zhang, K. Nagapudi, L. Zhou, J. Lomeo. Accelerated Formulation Characterization and Development with AI Image Analysis and Image-Based Release Modeling for PLGA Implant, Poster presented at: AAPS PharmSci 360, 2020 Oct 26-Nov 5; Virtual. With Genentech.

Zhang, K. Nagapudi. Micro-imaging Based Characterization and Release Prediction of a Long-Acting PLGA Implant, Poster presented at: Long-Acting Injectables and Implantables Conference, 2020 Feb 6-7; La Jolla, CA. With Genentech.

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