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Articles

Industry will be challenged to embrace new methods of supply chain collaboration.

NDC: To Be or Not to Be in EPC?

In recent years, AI has become important in a number of fields in helping to make better use of information, increasing efficiency and enhancing productivity.

Artificial intelligence the key to process understanding

The US Food and Drug Administration has modified its requirements for drug pedigrees accompanying wholesale pharmaceutical transactions, following a US District Court preliminary injunction barring the agency from enforcing certain provisions of the rule that was to have gone into effect on Dec. 1.

US Court Delays FDA Drug Pedigree Requirements

Dublin, OH (Nov. 14)-A half-year Cardinal Health study of radio-frequency identification (RFID) tags "under real-world conditions has demonstrated that the technology has real promise to provide an added layer of safety," according Renard Jackson, the company's vice-president and general manager of global packaging services, in a prepared statement.

Cardinal Health Reports on RFID Pilot

San Antonio, TX (Nov. 1)-Though the US Food and Drug Administration's final guidance on process analytical technology (PAT) was published in Sept. 2004, companies are still unsure about how exactly to implement PAT in their processes.

Integrating PAT into Processes

Outliers may provide useful information about the development and manufacturing process. Analysts use various statistical methods to evaluate outliers and to reduce their impact on the analysis. This article describes some of the more commonly used identification methods.

A Review of Statistical Outlier Methods

Large amounts of data are currently being generated in an attempt to understand and improve formulation, process, and manufacturing efficiency. This task requires novel data mining software systems tailored specifically for the formulator and process engineer.

Advanced Neural Computing Software Systems: Data Mining in Processing and Formulation

This article examines what other industries have done to address the challenges associated with successfully implementing the principles and concepts of process analytical technology, particularly the specific elements of measurement, analysis, and control. The author explores how other industries' approaches can be applied directly to pharmaceutical manufacturing.

Leveraging PAT: What Life-Sciences Companies Can Learn from Other Industries

This article discusses the role of process simulation and scheduling tools in the development and manufacture of pharmaceutical products.

The Role of Process Simulation and Scheduling Tools in the Development and Manufacture of Pharmaceutical Products

Modeling conducted in the process development and early commercialization stages can increase process efficiency and lead to process-control improvement. A virtual plant environment, running on a PC, can incorporate the same industrial control systems and configuration expertise used in manufacturing and helps many parts of process analytical technology. It also can make possible the enlightened use of technologies such as model predictive control, first-principal models, neural networks, and multivariate statistical process control.

Data and Artificial Intelligence