Advances in bioreactor control for production of biotherapeutic products
Advanced control strategies are well established in chemical, pharmaceutical, and food
processing industries. Over the past decade, the application of these strategies is being …
processing industries. Over the past decade, the application of these strategies is being …
Bio-high entropy alloys: Progress, challenges, and opportunities
J Feng, Y Tang, J Liu, P Zhang, C Liu… - … in Bioengineering and …, 2022 - frontiersin.org
With the continuous progress and development in biomedicine, metallic biomedical
materials have attracted significant attention from researchers. Due to the low compatibility …
materials have attracted significant attention from researchers. Due to the low compatibility …
Multi-objective optimization of continuous CHO cell clarification using acoustic wave separation
Acoustic cell clarification is an upcoming novel primary harvest technology for
biopharmaceutical manufacturing. It utilizes a 3D standing acoustic wave to separate cells in …
biopharmaceutical manufacturing. It utilizes a 3D standing acoustic wave to separate cells in …
[HTML][HTML] Iterative learning robust optimization-with application to medium optimization of CHO cell cultivation in continuous monoclonal antibody production
In the presence of uncertainty, the optimum obtained based on a nominal identified model
can neither provide any performance guarantee nor ensure that critical constraints are …
can neither provide any performance guarantee nor ensure that critical constraints are …
Swirling flow of two immiscible fluids in a cylindrical container: Lattice Boltzmann and volume-of-fluid study
MV Salnikov, IS Vozhakov, IV Naumov… - Physics of …, 2024 - pubs.aip.org
An experimental and numerical study of a multicomponent swirl flow of a liquid in a closed
cylinder is carried out for various values of the relative cylinder elongation and the Reynolds …
cylinder is carried out for various values of the relative cylinder elongation and the Reynolds …
A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies
Developing a reinforcement learning (RL) framework that works satisfactorily in deterministic
and stochastic environments is challenging. To address this problem, a twin agent RL …
and stochastic environments is challenging. To address this problem, a twin agent RL …
Assessing the manufacturability and critical quality attribute profiles of anti-IL-8 immunoglobulin G mutant variants
GB Armstrong, GA Burley, W Lewis… - Molecular …, 2024 - ACS Publications
Early-phase manufacturability assessment of high-concentration therapeutic monoclonal
antibodies (mAbs) involves screening of process-related risks impacting their translation into …
antibodies (mAbs) involves screening of process-related risks impacting their translation into …
A deep learning-aided multi-objective optimization of a downstream process for production of monoclonal antibody products
Monoclonal antibodies (mAbs) have emerged as the dominant class of therapeutic moieties
due to their superior therapeutic potential and safety profile. Downstream processing plays a …
due to their superior therapeutic potential and safety profile. Downstream processing plays a …
[HTML][HTML] Process control of mAb production using multi-actor proximal policy optimization
Monoclonal antibodies (mAb) are biopharmaceutical products that improve human
immunity. In this work, we propose a multi-actor proximal policy optimization-based …
immunity. In this work, we propose a multi-actor proximal policy optimization-based …
A framework for model maintenance using kernel-based forward propagating neural networks
Deep learning models possess limited flexibility in computational burden in model
adaptation owing to the conventional use of backpropagation for model training. To address …
adaptation owing to the conventional use of backpropagation for model training. To address …