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Press Releases & News
DigiM Awarded FDA Contract to Study Microstructure Bioequivalence of Polymer-based Long-acting Drugs (in collaboration with the Diane Burgess Laboratory at UConn). Read the press release. Medical News press release available here.
Controlled Release Society – vAM Virtual Annual Meeting – June 29-July 2 DigiM will participate in an FDA hosted workshop on July 1st and 2nd, present an on-demand talk on image-based release profiles for a long-acting implant, and host a virtual exhibit booth to connect with pharmaceutical scientists. Our collaborators from Genentech will also share an on-demand talk featuring DigiM's analysis. More info on the virtual meeting is available here.
Parenteral Drug Association - Virtual Meeting - July 20-22 DigiM will present a poster on microstructure characterization for a PLGA implant. More info here.
Zhang, S., Nagapudi, K. (2020). Micro-imaging Based Characterization and
Release Prediction of a Long-Acting PLGA Implant. Poster presented at the Long-Acting Injectables and Implantables meeting in La Jolla, CA. With Genentech. Request poster.
Zhang, S., Goldman, J., Chen, X., Rowe, J., Lin, S., Zhou, L. (2020). Non-Invasive, Quantitative Characterization of Lyophilized Drug Product Using Three-Dimensional X-Ray Microscopy Analytics. Drug Development & Delivery.Read full paper here.
Howard, J. (2019). Machine-Learning Methods in Image Processing and Analysis of Porous Materials. DigiM whitepaper. Available for request.
Zhou, L., Stroud, P., Zhu, A., Hinds, J., Blakely, K., Zhang, S. (2019). Characterization of Spray-Dried Aggregates for Tablet Formulation with Microstructure 3D Imaging Analytics. Poster presented at AAPS PharmSci 360 2019 in San Antonio, Texas. With Eli Lilly. Request poster.
Zhu, L., Yin, D., Qin, Y., Konda, S., Zhang, S., Zhu, A., . . . Lin, H. (2019). Sorption‐Enhanced Mixed Matrix Membranes with Facilitated Hydrogen Transport for Hydrogen Purification and CO2 Capture. Advanced Functional Materials.Read abstract. Request manuscript.
Howard, J., Lin, S., & Zhang, S. (2019). Uncertainty Quantification in Image Segmentation for Image-Based Rock Physics in a Shaly Sandstone. Petrophysics,60(2), 240-254. Read abstract. Request the manuscript.