603 Pharma 4.0: Process Analytical Technology and Modeling

Thursday, November 19, 2020: 8:00 AM - 9:00 AM
Pharmaceutical Discovery, Development and Manufacturing Forum (26) (PreRecorded+)

Description:
This session will discuss progress towards Pharma 4.0 through advancements in process analytical technology (PAT) and modeling to characterize and control pharmaceutical manufacturing processes. Contributions include the application of real-time spectroscopy, spectral monitoring, and multivariate analysis to real-time process characterization, kinetic parameter estimation, and process improvement.

Sponsor:
Pharmaceutical Discovery, Development and Manufacturing Forum
Co-Sponsor(s):
Applications of Data Science to Molecules and Materials (T3), Next-Gen Manufacturing (T6A), Sensors (T9)
Chair:
Connor W. Coley Email: ccoley@mit.edu
Co-chairs:
Dominique Hebrault Email: Dominique.Hebrault@mt.com
Samrat Mukherjee Email: samrat.mukherjee@abbvie.com


(603a) Big Data-Based Fault Detection with Advanced Analytics in the Pharma Industry
Deniz Koç, Daniel Castro-Rodriguez and Dimitrios I. Gerogiorgis


(603b) Recent Advances in Kinetic Parameter Estimation Toolkit (KIPET) with Spectra
Kevin McBride, Michael Short, Weifeng Chen, Kuan-Han Lin, David Thierry, Salvador García-Muñoz and Lorenz T. Biegler


(603d) Teaching Computers to Interpret Mdsc Thermograms
Pedro Monteiro and Teresa Marta


(603e) Data-Smart Machine Learning Methods for Predicting Youngs Modulus of Directly Compressed Blends of Pharmaceutical Powders
Stephen Thomas, Hossein Amini, Venkata Bobba, Hannah Palahnuk, Jaya Malladi and Ilgaz Akseli


(603g) Advances and New Developments on Eiot for PAT Applications in Pharmaceutical Development and Manufacturing
Salvador García-Muñoz
See more of this Group/Topical: Pharmaceutical Discovery, Development and Manufacturing Forum
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