Umetrics Suite Blog

Scientists used DOE to optimize a new assay for diagnosing rare kidney disease

January 23, 2020

A new diagnostic method for detecting a rare kidney stone disease has recently been developed at the University of Iceland. Instead of using urine microscopy, which has certain disadvantages, the diagnostic method is based on mass spectrometry of plasma samples. Preliminary clinical data shows very promising results both in terms of detecting the disease and therapeutic drug monitoring. Design of Experiments (DOE) was used as a chemometric approach to optimize the assay. Below is a summary of the assay development and optimization.

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Using multivariate models in a regulated environment for continuous manufacturing of pharmaceuticals

January 14, 2020

Continuous manufacturing is one of the key trends within the pharmaceutical industry, both for the production of ‘classical’ drugs as well as large molecules. Companies are looking for ways to shift from traditional batch processing to a continuous method of operation. The main advantages associated with these processes are more room for modularity, automation and flexibility due to a smaller footprint, as well as more consistent quality of the drug product.

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Digital twins offer a data-based approach to more effective biopharma process control

December 11, 2019

For pharmaceutical companies facing challenges such as rising costs, sterner regulations and declining profit margins, innovative new technologies like artificial intelligence (AI) and digital twins have become part of an essential strategy to future-proof their businesses. A digital twin is the next evolution of machine learning combining advanced data analytics and equipment simulation with comprehensive system models that blend historical information with real-time data to predict the future of a process. According to Gartner, the digital twin concept was one of the top 10 strategic technology trends in 2019.

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Which data analytics methods best support a quality by design approach for biosimilars?

November 12, 2019

Biosimilars are an exciting route to increasing access to the highly effective therapy made possible by biologics, but ensuring a biosimilar meets the critical quality attributes (CQA) of the original biologic is a major challenge. Optimizing production at full scale is impractical, which makes a quality by design (QbD) approach using a reliable scale down model of the process an attractive alternative. A process development team at Zhejiang Hisun Pharmaceuticals, Taizhou, China, therefore developed a scaled down model of the cell culture process used to produce the biosimilar adalimumab. They qualified the model using multivariate data analysis (SIMCA), and explored the design space for key process attributes (KPA) and CQAs using MODDE.

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From emissions to fuel efficiency: what is your power plant data hiding?

October 28, 2019

Optimizing the function of boilers, turbines and other capital equipment used to generate power requires a careful balance of fuel, heat, pressure, operator proficiency and many other variables. Managing the process on a day-to-day, or minute-to-minute basis, is like performing a skilled and well-orchestrated dance—partly based on data, but also based on operator expertise. Yet, adding more accurate information to the equation can potentially save millions of dollars, cut emissions significantly and even expand the working life of your equipment. 

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How to increase yield in the electronics industry with real-time data analytics

October 21, 2019

There is a strong demand for devices such as mobile phones, tablets and large screen TVs all over the globe. The business is competitive, which puts pressure on prices. At the same time, production costs are fairly high due to complex production processes. Consequently, a high yield becomes paramount for good profit margins. Multivariate data analysis (MVDA) is being employed by an increasing number of manufacturing companies to increase yield, and the electronics industry is no exception. This article provides examples of where and how real-time data analytics can be used in the electronics industry.

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The trending role of artificial intelligence in the pharmaceutical industry

September 26, 2019

Over the last several years, the use of artificial intelligence (AI) in the pharma and biomedical industry has gone from science fiction to science fact. Increasingly, pharma and biotech companies are adopting more efficient, automated processes that incorporate data-driven decisions and use predictive analytics tools. The next evolution of this approach to advanced data analytics incorporates artificial intelligence and machine learning.

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Find out how to get more insight from your OSIsoft PI data: Meet us at PI World

September 10, 2019

The key to being able to innovate, improve and streamline your processes often lies in gaining as many insights as you can from a variety data sources scattered throughout your operations. Making sense of all that data can be difficult. But it's not an impossible dream.

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How one company integrated data to implement real-time bioprocess monitoring

September 4, 2019

Most biopharma manufacturing companies are keen to adopt new methods that would streamline production, reduce errors and ensure product quality. That was the goal of Bristol-Myers Squibb when they implemented a complex real-time process monitoring system that involved integrating data from a number of different technologies, systems and vendors to gain greater control over complex batch processes.

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How digital transformation helped Amgen implement real-time process control

August 6, 2019

In many manufacturing industries, variability in raw materials can lead to unexpected and undesirable changes in the final products. In regulated industries such as pharmaceuticals, this is especially problematic due to the need to maintain carefully controlled processes that stay within approved regulatory parameters for drug development and production. Embracing a total company-wide digital transformation enabled Amgen to align data across multiple systems to not only control, but also predict unacceptable deviations in time to make necessary adjustments. Read on to find out how they used data analytics to implement real-time process control.

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Addressing the latest trends in food and beverage manufacturing

July 25, 2019

Several trends in the food and beverage industry are leading to challenges for manufacturers that can be best addressed with data analytics. With growing digitalization, more companies have access to the kinds of data that can transform their processes to meet the latest consumer demands as well as to shorten time to market, reduce costs, and shrink health and safety risks.

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Real-time MVDA tools for continuous process control can add value to API manufacturing

July 11, 2019

In the last few years, many pharmaceutical companies have started investing in continuous production, and some have already succeeded in filing new pharmaceuticals using a continuous flow manufacturing process. This article summarizes a study at GlaxoSmithKline, GSK, where real-time multivariate monitoring added value to the development of a continuous production process of an active pharmaceutical ingredient (API).

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