Process Control, Automation, and PAT

Leveraging Artificial Intelligence and Human Know-How to Accelerate Drug Discovery

December 14, 2022

Through the integration of human expertise, artificial intelligence, and automation robotics, bio/pharma companies can more efficiently target drug discovery efforts with bigger payoff.

From Design to Qualification: Creating the Most Efficient Single-Use Facilities

November 15, 2022

Through collaboration and transparency, engineering and automation companies can achieve great efficiencies and success for their customer by integrating intelligent design into a facility.

Smoothing the Path to Pharma 4.0: Challenges and Solutions

November 15, 2022

By taking a digital maturity-first approach to Pharma 4.0, manufacturers can optimally position themselves for success.

Machine Learning and Data Analysis for Optimal Productivity of Pharmaceutical Water Systems

November 15, 2022

Leveraging smart technology and SMEs for significant operational and financial benefits.

Developing Automation Downstream

August 02, 2022

Automation enables intensification of downstream processes.

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.