2025 AIChE Annual Meeting

Session: 10E Machine Learning Tools for Pharmaceuticals and Bioprocessing

This session solicits submissions pertaining to both methodological advances in machine learning as well as application-driven case studies, spanning from data-driven to hybrid modelling approaches advancing the fields of pharmaceuticals and bioprocessing.

Chair

Salvador Garcia Munoz, Eli Lilly and Company

Co-Chairs

Francesco Destro, University of Padova
Yingjie Chen, University of Delaware

Presentations

03:30 PM

(207a) Model Development Based on Deep Reinforcement Learning and Lstm Network for Optimization and Control of MAb Production in Mammalian Cell Cultures
Essa Almutar, Satish Parulekar

03:51 PM

(207b) Decoding Alphafold Pair Representations for Pharmaceutical Applications
Naz Pinar Taskiran, Vishruth Devan, Venkat Suprabath Bitra, Venkat Venkatasubramanian

04:12 PM

(207c) Thermodynamic Surrogate Modeling for Open-Source Pharmaceutical Process Simulations
Kyla Jones, Daniel Casas-Orozco, Salvador Garcia Munoz, Alexander Dowling

04:33 PM

(207d) Enhancing Sensitivity Analysis of Complex Pharmaceutical Systems with Machine Learning
Daniele Pessina, Roberto Andrea Abbiati, Davide Manca, Maria Papathanasiou

04:54 PM

(207e) A Hybrid-Modeling Approach for Optimizing Cultivation Processes in Monoclonal Antibody Production Using Automated Bioreactor Equipment
Kosuke Nemoto, Sara Badr, Yusuke Hayashi, Mizuki Morisasa, Junshin Iwabuchi, Hirokazu Sugiyama

05:15 PM

(207f) Hybrid Modeling of Industrial Bioreactors Using Physics-Informed Neural Networks (PINNs)
Konstantinos Mexis, Stefanos Xenios, Antonios Kokosis

05:36 PM

(207g) Hybrid Data-Driven Modeling and Optimization Approach for Waste Circularization in Pharmaceutical Manufacturing Network: A Case Study on Acetaminophen Drug Production
Abhimanyu Raj Shekhar, Rahul Panicker, Brian Morgan, Shweta Singh