Process and Automation

The acquisition strategically expands SPT Labtech’s offering in sample management for life sciences.

The company recently installed a fully validated visual inspection system that uses artificial intelligence in an automated inspection machine.

Advanced manufacturing technologies are available, but challenges need to be addressed.

Sharing process insights across the stages of drug development improves tech transfer.

Honeywell’s project team has remotely and efficiently migrated Richter Gedeon’s process control system with limited onsite staffing and resources.

The collaboration addresses the need for risk mitigation plans in cell therapies.

Sanofi’s Digitally Enabled Integrated Continuous Biomanufacturing Facility in Framingham, MA was named the Overall Award winner at the ISPE virtual annual meeting.

At the 2020 Bio/Pharma Virtual Congress, experts discuss how artificial intelligence and machine learning are used to gather and process real-time manufacturing data.

Consider modular automation and cybersecurity when modernizing manufacturing processes.

Two FDA-funded projects at RCPE will look at real-time monitoring and control of drug tablet coating and developing a digital twin for drug production control.

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

Automation, digitalization, and supply-chain strategies help mitigate vulnerabilities in both autologous and allogeneic cell therapy manufacturing.

Automation and tools for remote monitoring are finding increased use as pharmaceutical manufacturing adapts to pandemic restrictions.

Even though many companies are at early stages of digital automation, more are evaluating BioPharma 4.0 tools and leveraging built-in automation to speed scale-up and boost efficiency.

Real-time monitoring and the principles of quality by design were used to optimize an OSD coating process.

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

Advanced analytics streamlines continuous manufacturing by providing improved insights to data.

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

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

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

Analyzing process and equipment data provides insights that can improve quality and productivity of pharmaceutical manufacturing.

Advanced analytics and modeling can be used to predict downstream failures, allowing for corrective action before batches are lost.

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

Energy and water waste can be improved with new technologies, and sustainability can be considered in the design of new facilities.

CDMOs must consider challenges associated with the complexity of contract pharmaceutical manufacturing when approaching digitalization projects.

Data collected through the Industrial Internet of Things enable predictive maintenance.

Advanced dynamic process control of a fluid-bed granulation process using PAT data improves product quality.

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

Predictive and prescriptive maintenance improve pharmaceutical manufacturing equipment effectiveness.

Long a staple for quality by design and solid dosage form manufacturing, design of experiments is becoming an integral part of biopharma upstream process development.