Process Control, Automation, and PAT

Automating Biopharma Manufacturing

July 02, 2022

Automation and digitalization work together in the digital plant.

Merck Collaborates with Agilent Technologies on PAT for Downstream Processing

June 17, 2022

Merck has entered into a collaboration with Agilent Technologies with the aim of filling the industry gap in PAT for downstream processing.

Perspectives on Process Analytical Technology

May 01, 2022

This article summarizes industry views on PAT in bioprocess-related applications and presents a vision for the biopharmaceutical industry to achieve Industry 4.0.

The Ongoing Transformation of Process Controls

April 01, 2022

As process controls adjust to a continuously shifting manufacturing landscape, implementation of information gathered from novel data analysis techniques has become a priority.

Connected Software Solutions Streamline Biopharma MS Workflows

February 17, 2022

The integration of modern software tools can make the acquisition and analysis of MS data more efficient, accurate, and compliant.

Using Modeling to Improve Data Analytics for Upstream Bioprocessing Workflows

February 09, 2022

Recent trends in data analytics highlight the use of modeling techniques to improve process control and monitoring in biopharmaceutical production.

Cell Culture Processing Continually Advances

February 02, 2022

The growing use of automation and digitalization technologies push cell culture bioprocessing forward.

The Lighthouse Effect: Using Technology to Improve Life Sciences Manufacturing

February 01, 2022

Lighthouse manufacturing techniques utilize technology and automation to streamline production.

Fosun Pharma and Insilico Medicine Partner on Drug Discovery and Development Using Artificial Intelligence

January 14, 2022

Fosun Pharma and Insilico Medicine will collaborate on AI-driven drug discovery and development of product candidates targeting multiple disease targets.

Recent Trends in Data Analytics for Upstream Process Workflows

January 02, 2022

Modeling techniques can improve process control and monitoring in biopharmaceutical production.