Latest Articles
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Multidimensional Mass Spectrometry and Machine Learning: A Recipe for Richer Metabolomics
A new metabolomics workflow has been developed that combines state-of-the-art analytical instrumentation, which generates information-rich data, with a novel machine learning-based algorithm tailored to process it.
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Improving Image Integrity in Scientific Papers
This article sheds light on the issue of image integrity in academic publishing and gives advice on how to reduce the risk.
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Improving Time-to-Value for GxP Computer Systems
Jim Brooks shares top tips to overcome the biggest validation challenges and best practices for building and implementing a digital process data strategy to lead to smarter and faster validation.
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The Impact of UK Collaboration in Life Sciences
In this opinion piece, Jan Wauters discusses why collaboration in science is so important and what the Windsor Framework could mean for research in Europe.
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The Role of Smart Technology in Mitigating the Risk of Human Error and Improving Productivity in Pharmaceutical Quality Control
In this article, discover the role HPLC plays in ensuring regulatory compliance and reliability of throughput, and how labs can automate to eliminate errors and build reliability into their processes.
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ChatGPT: It’s Not the End of the World as We Know It
In this op-ed article, Michael Kinch explains his optimism around ChatGPT which, in his words, centers around the possibility that we as a society might start to question "claims" and "truths" that we encounter daily.
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Generative AI’s Business Impact Will Be Slow, Then Slow, Then Big
In this opinion piece, Vikram Savkar explores the potential impacts of ChatGPT and some of the concerns about the use of the technology.
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Time To Say Goodbye to the Traditional BMI?
Scientists from the Institute for Systems Biology (ISB) have created a biological BMI, an alternative to the "traditional" approach. Technology Networks interviewed the lead researchers to understand why it could be a useful alternative measure of health.
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Post-Hoc Tests in Statistical Analysis
In this article, we review the function of post-hoc tests in statistical analysis, how to interpret them and when to use them (and not use them).
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Embracing Data-Driven Modeling Approaches Into Biopharmaceutical Processing
This article explores new workflows using data-driven modeling to improve culture medium and new control algorithms allowing for better modulation within the bioprocess design space.
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