Displaying 1–25 of 902 results for PAT
Making the switch to continuous creates new challenges for risk management and insurance coverage
Vendors bring new features to mixing technology
Combining human reasoning with the machine learning functionality found in advanced analytics applications improves pharma processes
New business management solutions offer end-to-end manufacturing connections
How AI, data and expertise work together to accelerate insights, develop infrastructure and answer critical scientific questions
Small, real-time measurements make large contributions to process analytical technology
Digital and automation technologies have created opportunities for change in pharma QC laboratories
AUTOMATION & CONTROL: How embracing modernization will put pharma on the path toward operational quality, efficiency and regulatory compliance.
Survey results reveal how slow-motion trends are driving biopharma growth.
To advance, the pharma industry must confront its digital transformation fears head-on
Choosing advanced solutions rather than manual data analysis helps improve quality insights
Today’s solid dose manufacturing reality still relies on skillful execution by operators
Understanding how Industry 4.0 innovations can transform pharma operations.
A review of IFPAC Annual Meeting 2018 from contributing editor Emil W. Ciurczak.
The integration of scientific rationale supports the probabilistic modeling approach that is required for effective QbD implementation
Purdue University researchers and industry leaders are teaming up to transform the freeze-drying process, formally known as lyophilization, used to make everything from lifesaving drugs and biotech products to foods.
The use of analytical techniques, including new technologies, has been shown to measure properties that correlate directly with finished tablet quality
Interviews with product experts about select hardware/software products applicable to PAT/QbD, highlighting key features of each instrument/program
How modern biopharma is cautiously melding new downstream technology into their processes.
How pharma has become more proactive in its digital transformation. Motivated by technical advancements and marketplace pressures, pharma is finally beginning to recognize the power of data-driven decision making
Hand-made to assembly lines, now, to automated production
Degrees of Digitalization: Armed with the education and motivation, pharma now needs a plan
All elements and levels of the organization must be engaged to create effective manufacturing processes
Piloting Traceability with GS1 Standards. AmerisourceBergen teams with Johnson & Johnson Supply Chain for significant learnings.