2024 AIChE Annual Meeting

Session: Next-Gen Manufacturing in Pharma, Food, and Bioprocessing

This session is focused on next generation manufacturing of pharmaceutical, food, and bioprocessing. Both experimental and modelling works from academia and industry are welcome. Work related to advanced batch and continuous manufacturing will be suitable for this session. Novel techniques and tools such as process modelling, process control, PAT, QbD, machine learning/Artificial intelligence and Industry 4.0 are encouraged to present in this session.

Chair

Ravendra Singh, Rutgers, The State University of New Jer

Co-Chair

Ana I. Torres, Facultad De Ingeniería Udelar

Presentations

08:00 AM

(504a) Model-Based Analysis of the Monoclonal Antibody Glycosylation across CHO Cell Lines
Jing Guo, Yingjie Ma, Richard Braatz

08:19 AM

(504b) Modeling and Performing Multiple Dual Mode Countercurrent Chromatography for Challenging Bioseparations
Hoon Choi, Manar Alherech, Gregg T. Beckham

08:38 AM

(504c) Enhancing Resin Screening with Machine Learning in Protein a Chromatography
Andrea Galeazzi, Steven Sachio, Blaž Likozar, Cleo Kontoravdi, Maria M Papathanasiou

08:57 AM

(504d) Development of an Advanced API Manufacturing System
Daniel Gregory, Kaitlin Kay, Justin Turnage, Kimberly Penzer, Frank Gupton, James K. Ferri

09:16 AM

(504e) Machine Learning in Food and Drink Manufacturing
Dimitrios Gerogiorgis

09:35 AM

(504f) Beyond First-Principles: Harnessing Time-Series Data for Improved Process Modelling.
Nethraa Kannan, Philip Donnellan

09:54 AM

(504g) Towards Cost-Effective, Sustainable and Flexible Pharmaceutical Supply Chains: Single-Use Vs Stainless Steel Technology
Miriam Sarkis, Alasdair Fyfe, Cleo Kontoravdi, Maria M Papathanasiou