Manufacturing

Articles

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

Neurala Partners with IMA Group on AI for Manufacturing Automation

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

New Cybersecurity Features Protect Facilities with Remote Operations

Automated sampling systems and integration of PAT are overcoming some of the roadblocks to increased automation of biopharmaceutical manufacturing processes.

New Tools Facilitate Automated Process Control

Ori Biotech is partnering with manufacturers and materials suppliers to develop an automated system for cell and gene therapy manufacturing. 

Ori Biotech and CellGenix Collaborate on Closed-System, Cell and Gene Therapy Manufacturing

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

Data Visualization and Analysis Software Enables Real-Time Manufacturing Intelligence

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

Augury Adds Capabilities to Machine Health Platform

Cynthia A. Challener, PhD, is a contributing editor to BioPharm International.

Ensuring the quality of data in process monitoring and control systems starts in process development phases.

Building Data Quality in Generates Quality Data Out

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

Sartorius and German Research Center Collaborate on Artificial Intelligence

In batch production, efficient exception management means reducing the time required to identify, review, and resolve process exceptions. Incorporating review by exception functionality within manufacturing execution system (MES) software can streamline biopharmaceutical product release.


Review by Exception: Connecting the Dots for Faster Batch Release

Agnes Shanley is senior editor of BioPharm International.

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.


Biopharma modeling, now and five years from now

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


Modeling Comes of Age in Biopharma

Gary Dailey is vice-president, Global Marketing, Electronic Materials, at Avantor.

Claudia BerrÃ³n is senior vice-president, Strategy and Commercial Operations, Biopharma Production at Avantor.

Applying lessons of raw materials’ characterization and supply-chain control from the semiconductor industry allow more rigorous control of the biopharmaceutical manufacturing process.

Applying Lessons Learned from the Semiconductor Industry

Jennifer Markarian is manufacturing editor of Pharmaceutical Technology.

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.

AI Enables Supply-Chain Visibility

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

Predictive Digital Twins Control Bioprocesses for MAb Production

Successful process intensification with inline dilution requires effective monitoring and control.

Monitoring and Control of Inline Dilution Processes

Now that the first genetically modified cell therapies are being manufactured, the industry must move beyond “whatever works” to meet growing demand.

Industrializing Cell and Gene Therapies

NIIMBL announced it is partnering with FDA through the University of Delaware to improve biopharmaceutical manufacturing.

NIIMBL and FDA Partner in Biopharmaceutical Manufacturing

Real-time monitoring of product- and process-related impurities remains a challenge.

Analysis of Residual Impurities in Continuous Manufacturing

Although downstream efficiency still lags behind upstream, engineering-driven innovation is breaking through boundaries.

Catching Up Downstream

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

Process Control, Automation, and PAT