Information Technology

Data Management in the Supply Chain

Adopting an effective strategy for data and knowledge management throughout the drug development and clinical manufacturing lifecycle is key to maintaining a competitive edge. Significant challenges face each organization seeking to improve efficiency in this area, and they can mostly be attributed to the complex nature of pharmaceutical drug development. Managing both data and knowledge is complicated by the different groups, sites, and partner organizations involved with developing and manufacturing a new drug product. To further compound the problem, a…

Modeling Flow Distribution in Large-Scale Chromatographic Columns with Computational Fluid Dynamics

Column chromatography remains a key unit operation in downstream processing of biopharmaceuticals. For most commercial processes, two to three chromatography steps are used to remove process-and product-related proteins, DNA and adventitious agents. As the biopharmaceutical industry has increased its product offerings and related demands, downstream processes have fast become a bottleneck (1, 2). Many commercial and clinical processes include a number of cycles on one or more chromatography steps to process the harvest from a single production batch. PRODUCT FOCUS:…

In the Information Technology Zone

Successfully driving your global business requires vigorous, secure information exchange within your facility, from site-to-site, and with your partners and contract service providers. Tools to capture data in real time support decision making and enable companies to manage volumes of historical data needed for regulatory submissions. Software is available for data mining, managing clinical trial networks, and assessing toxicology data (among many other things). Information technologies in the biotechnology industry facilitate development and delivery of new therapies and diagnostics, improvements…