Information Technology

A Harmonized Approach to Data Integrity

Data integrity is achievable when data collection is complete, consistent, and accurate (1). Failure to maintain data integrity compromises a company’s ability to demonstrate the safety and efficacy of its products. Escalation of serious regulatory actions related to data integrity violations has prompted the need to assess data integrity compliance and implement systems designed to guarantee it. Comprehensive measures must be taken to ensure that data are attributable, legible, contemporaneous, original, and accurate (ALCOA) (2). Preventive measures need to be…

Opportunities for Modern Robotics in Biologics Manufacturing

It should come as no surprise to anyone familiar with biomanufacturing that current designs of bioprocess facilities as well as associated manufacturing spaces and support operations require excessive amounts of manual labor and manual interventions that lead to high labor costs and, consequently, total cost to supply. From receipt of raw materials to process execution and performance review, resolution of quality issues, and product shipping, no industry devotes a greater percentage of operating costs (or cost of goods sold, CoGS)…

Determining Control Chart Limits for Continued Process Verification with Autocorrelated Data

Control charts are used to assist in process monitoring activities. They use an estimate of central tendency (the overall mean) and variation (the standard deviation). Sample standard deviations (S) tend to underestimate process standard deviations (σ) when they are calculated using limited sample sizes of independent results (1). For this reason, the unbiasing constant c4 is used as a divisor when calculating Shewhart control-chart limits. If data used for control charting are positively autocorrelated, that tends to underestimate σ further…

Cell and Gene Therapy Data Management: Solutions to Address Complex Challenges

At the Phacilitate Leaders World and World Stem Cell Summit 2019, held 22–25 January, Steve Goodman (head of drug product manufacturing at bluebird bio) and Robert Di Scipio (CEO of Skyland Analytics) shared the podium to address what the product and process data-management ecosystem looks like for cell and gene therapy (CGT) development and manufacturing. A starting point for their presentation was that CGT development presents significant data challenges: capturing and analyzing product development and manufacturing data, tracking the collection,…

Development and Application of a Simple and One-Point Multiparameter Technique: Monitoring Commercial-Scale Chromatography Process Performance

In commercial-scale biopharmaceutical manufacturing, downstream chromatography steps are still a bottleneck and contribute to significant operational costs (1, 2). Some of those costs are inherent (e.g., resins, large buffer quantities, and cleaning) whereas others are avoidable (e.g., product loss due to rejected lots or deviations that result in production downtime). Maintaining efficient and robust chromatography process performance is therefore critical for minimizing operating costs. To do so, we introduce a simple and one-point multiparameter technique (SOP-MPT) for monitoring chromatographic process…

Multitiered Automation for Improved Efficiency of Bioprocess Analytics

The first biopharmaceutical, human insulin, was approved for use in 1982 (1). The biopharmaceutical market continues to exhibit healthy growth now, with the number of yearly patent applications increasing by 25% annually since 1995 (2). The total pharmaceutical R&D pipeline has more than doubled since the beginning of the century (Figure 1), much of that attributable to the biologics industry segment. As this industry has matured, new platform methods have emerged, and competition has increased. Consequently, the pressures of speed,…

eBook: Using Modern In Situ Analytics and PAT for Automated Feedback Control of Critical Process Parameters

Simply put, the best way to control a critical process parameter (CPP) is to measure that specific parameter, integrate the live signal into your control system, and apply a smart feedback algorithm for an automated control loop. The challenge in doing this for bioprocesses has been due, in part, to the complex, highly dynamic, and variable nature of the process along with the lack of robust, scalable, and multiformat (single-use or multiuse) technologies that can monitor in real time such…

Using Data and Advanced Analytics to Improve Chromatography and Batch Comparisons

With all the hype surrounding the industrial Internet of Things (IoT), cloud computing, and digital transformations, the most important information technology factors still are data and the connections of sensors, systems, and applications that generate, store, find, and use those data to obtain operational intelligence. Data volumes are increasing rapidly, and they will continue to do so. The ability to find and make sense of data to obtain intelligence that improves process outcomes is more important than ever. For clinical-…

Single-Use Sensors and Control and Data Acquisition Tools to Streamline Bioprocess Development

Process development and biomanufacturing in the biopharmaceutical industry have evolved extensively over the past 10 years. More tools are available to study process variables to enable more efficient and productive processes, speed development, and reduce costs. High powered microcontrollers are embedded in laboratory devices to carry out complex tasks. Recently, users have started working with microcontrollers such as Raspberry Pi for personal projects. As personal computer power has accelerated multiplefold,leading to high processing power and compact, high-capacity memory readily available…

Big Biotech Data: Implementing Large-Scale Data Processing and Analysis for Bioprocessing

Managing large amounts of data presents biopharmaceutical companies of all sizes with the need to adopt more efficient ways to handle the ongoing influx of information. At KNect365’s September 2017 Cell and Gene Therapy conference in Boston, Lisa Graham (founder and chief executive officer of Alkemy Innovation, Inc. in Bend, OR) spoke about the need for data management, data analysis, and process monitoring systems to evolve. Although she was speaking at a cell therapy event, her points are applicable to…