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

Singh, R., Rutgers, The State University of New Jer

Co-Chair

Torres, A. I., Facultad De Ingeniería Udelar

Presentations

08:00 AM

(504a) Model-Based Analysis of the Monoclonal Antibody Glycosylation across CHO Cell Lines
Guo, J., Ma, Y., Braatz, R.

08:19 AM

(504b) Modeling and Performing Multiple Dual Mode Countercurrent Chromatography for Challenging Bioseparations
Choi, H., Alherech, M., Beckham, G. T.

08:38 AM

(504c) Enhancing Resin Screening with Machine Learning in Protein a Chromatography
Galeazzi, A., Sachio, S., Likozar, B., Kontoravdi, C., Papathanasiou, M. M.

08:57 AM

(504d) Development of an Advanced API Manufacturing System
Gregory, D., Kay, K., Turnage, J., Penzer, K., Gupton, F., Ferri, J. K.

09:16 AM

(504e) Machine Learning in Food and Drink Manufacturing
Gerogiorgis, D.

09:35 AM

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

09:54 AM

(504g) Towards Cost-Effective, Sustainable and Flexible Pharmaceutical Supply Chains: Single-Use Vs Stainless Steel Technology
Sarkis, M., Fyfe, A., Kontoravdi, C., Papathanasiou, M. M.