Information Technology

Successful migrations require careful planning to meet business needs and maintain data integrity.

Collecting and analyzing data are crucial for creating efficient, automated bioprocesses.

Edge-AI technology will enable Industry 4.0 automation in pharmaceutical manufacturing.

The register supports cross-functional teams of chemists and biologists in developing non-natural, chemically-modified therapeutics for drug discovery.

Honeywell Forge Cybersecurity Suite’s improved industrial-grade remote access and added protection and risk monitoring aids remote operations.

Remote, machine health monitoring services reduce the need for on-site visits.

MilliporeSigma’s Bio4C Software Suite combines process control, analytics, and plant-level automation.

A comprehensive turnkey system based on LabVantage’s laboratory information management system platform allows laboratories to implement COVID-19 biobanking, testing, and research.

Enhancements to Augury’s AI-based machine health platform include new capabilities and collaboration tools for personnel working remotely.

As patent disputes within the scientific community continue, drug developers consider the intellectual property unknowns associated with this emerging technology.

Under the agreement, ERS Genomics will license its gene-editing technology to Aelian Biotechnoloy to support its commercial functional genomic screening platform.

By establishing effective management of data and knowledge, it will be possible to employ advances, such as artificial intelligence and synthetic biology, to their full potential in upstream bioprocessing.

Sartorius and the German Research Center for Artificial Intelligence have established a research laboratory for AI in the biopharmaceutical industry.

Bob Lenich, Emerson's business director for global life sciences, shares insights on where biopharma modeling is now, and where it is heading in the near future.

Modeling is being used for everything from yield improvement to facility design, but new initiatives plan to broaden its reach, both upstream and downstream.

Cloudleaf's Digital Visibility Platform can track which track location and additional environmental information, such as temperature, vibration, and shock, of sensors placed on raw material containers.

A collaboration between Insilico Biotechnology and IFAT aims to develop a manufacturing, planning, and control system for the production of monoclonal antibodies.

The learning curve for process analytical technology has slowed widespread adoption.

Making siloed data accessible across functions and to contract partners is the first step to facilitating continuous improvement and enabling use of artificial intelligence in manufacturing.

GE Healthcare launches Chronicle GMP-compliant automation software for cell therapy manufacturing.

The Quartic Platform is a new, AI-powered smart manufacturing platform that can be integrated into legacy facilities and manufacturing processes.

The GE Healthcare and Rockwell Automation collaboration will help meet the needs of the biopharma 4.0 era.

As automation in biomanufacturing becomes more important, so does the need to integrate process data.

New software tools by Tecan, a provider of automated laboratory instruments and solutions, complement each other to enhance process monitoring of its liquid-handling platforms.

Automation can improve many aspects of bioprocessing, but several hurdles must be overcome before the full range of benefits can be realized.

Modern technologies, including Industry 4.0 and the Industrial Internet of Things, offer opportunities to increase biopharmaceutical manufacturing efficiency.

ABB’s modeling software, Shop Floor Integration V2.0, allows engineers to validate the connection of existing pharmaceutical manufacturing equipment with Werum’s PAS-X manufacturing execution system in a simulation prior to running it live.

InstantGMP INV is a validated software for real-time material tracking and inventory control in biopharmaceutical manufacturing.

The need to improve and understand processes is moving PAT and more advanced control strategies beyond the lab into manufacturing and downstream applications.

Modeling at various stages of the data analytics continuum aids scale comparison of a bioreactor.