Skip to main content
Toggle main menu visibility
Menu
Join
Sign In
Communities
Membership
Events
Publications
Learning & Careers
AIChE Home
About
Contact AIChE
Leadership
Events
Communities
Membership
Learning & Careers
Publications
Careers at AIChE
Equity, Diversity, Inclusion
Giving
Students
Young Professionals
Operating councils
Local Sections
Committees
Awards
Communities
Membership
Events
Publications
Learning & Careers
Toggle site search visibility
Sign In
Join
Breadcrumb
Home
Publications
Proceedings
2022 Annual Meeting
Pharmaceutical Discovery, Development and Manufacturing Forum
Control Strategies in Pharmaceutical Development and Manufacturing II
2022 Annual Meeting
Session: Control Strategies in Pharmaceutical Development and Manufacturing II
Chair
Shujauddin Changi
Co-Chair
Christopher Marton
, Bristol Myers Squibb
Presentations
03:30 PM
(207a) Mechanistic Study of Diketopiperazine Formation during Solid Phase Peptide Synthesis of Tirzepatide
Jingyao Wang, Mark Berglund, Fareed Sayyed, Matthew C. Embry, Stephen Groskreutz, Martin Johnson, Timothy M. Braden, Michael Kopach
03:51 PM
(207b) Strategies for Mitigation and Control of PS80 Degradation in a Monoclonal Antibody Downstream Process
Hope McMahon, Kevin Chang, Zifan Gong, Andreas Sophocleous, Robert Luo, Antonio Ubiera
04:12 PM
(207c) Eliminating Batch-to-Batch Variability in Monoclonal Antibody Production Using Closed-Loop Control
Thomas Kavanagh, Maria Papathanasiou, Cleo Kontoravdi
04:33 PM
(207d) Systematic Control Strategy Development for a Continuous Direct Compaction Line Via the Control Strategy Evaluation Tool (CET)
Jakob Rehrl, Julia Kruisz, Selma Celikovic, Peter Toson, Dalibor Jajcevic, Johan Remmelgas, Thomas O'Connor, Abdollah Koolivand, Geng Tian, Scott M. Krull, Johannes G. Khinast
04:54 PM
(207e) Modeling, Simulation and Control of Twin-Screw-Granulation and Fluid-Bed-Drying Applied to a ConsiGmaTM-25 Line
Jakob Rehrl, Selma Celikovic, Johannes Poms, Martin Horn, Johannes G. Khinast
05:15 PM
(207g) A Knowledge-Guided Framework for the Effective Application of Machine Learning Models in the Development of Condition Monitoring Systems.
Rexonni Lagare, Zoltan Nagy, Gintaras Reklaitis, Yan-Shu Huang