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LIMS and ELNs – News and Features

Gas chromatography injection needles pointing downwards.
Article

Gas Chromatography – How a Gas Chromatography Machine Works, How To Read a Chromatograph and GCxGC

In this article, we take a look at what gas chromatography is, how it works and how to interpret output data. Its combination with mass spectrometry and the use of multiple dimensions are considered, and strengths, limitations and common problems are discussed.
Filling in the Blanks of Leading LIMS: A Discussion With LIMS Wizards content piece image
Industry Insight

Filling in the Blanks of Leading LIMS: A Discussion With LIMS Wizards

LIMS are powerful, but often complex tools. These big software packages can’t meet every need, and a growing field of companies has sprung up to offer labs supplementary tools. We spoke to Robert Jackson, Director of Delivery at LIMS Wizards, to find out more.
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Article

Emerging Technologies Required for Pharma 4.0

In this article, we discuss the evolution from today’s pharmaceutical manufacturing to the future methods of Pharma 4.0. In particular, we explore some of the technologies and techniques that can smooth that transition and briefly review several ongoing examples of industrial innovation.
Struggling to Zero in on a Biobanking LIMS? Here is the Checklist of Essential Features To Consider content piece image
Industry Insight

Struggling to Zero in on a Biobanking LIMS? Here is the Checklist of Essential Features To Consider

This year, more than ever, has underscored the critical services that biobanks provide to biomedical researchers and other scientists. By implementing a regulatory-compliant, configurable Laboratory Information Management System (LIMS), biobanks can follow best practice guidelines and overcome logistical, regulatory and safety challenges. This guide takes a look at how biobanks can choose the best LIMS to suit their operations.
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Article

What Is Data Compliance?

In the old days, running a lab and organizing your data involved a lot of lab books and spreadsheets. These days, the regulations around storing and managing data are increasing and becoming more complex. If you’re wondering whether your lab is data compliant or worrying what you can do about it, this guide will help you understand what you need to get started.
The Digital Revolution: A Look Towards Biopharma 4.0  content piece image
Article

The Digital Revolution: A Look Towards Biopharma 4.0

It’s no secret: the biopharma industry is changing, and some say it’s about time. Biopharma 4.0 aims to bring interconnected instruments, automation, greater transparency and decentralized decision-making to the field. How exactly will these technologies and approaches benefit biopharmaceutical development and biomanufacturing?
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Article

The Changing Landscape of Target-Based Drug Discovery

In this article, we discuss the cost of developing a drug, what makes a good drug target, the challenges and benefits of target-based drug discovery and how target-based approaches compare to phenotypic led approaches.
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Industry Insight

Exploring Trends in Drug and Alcohol Testing

With demand for workplace drug and alcohol testing growing in many countries and the increasing liberalization of drug laws across the world, the market is predicted to grow considerably over the next decade. Here we share a Q&A with John Wick, CEO of Cansford Laboratories, who pioneered the use of hair testing in the UK around 25 years ago.
Lines connecting data points in three dimensions.
Article

What Is Data Integrity?

Data integrity is vital for the success of any business, laboratory or institution that deals with the generation, manipulation or storing of data. In this article, we look at what data integrity is, why it is important and how it relates to data security and compliance.
Why the Future of Analytical Data Must Consider AI Principles content piece image
Article

Why the Future of Analytical Data Must Consider AI Principles

In this article, Andrew Anderson, VP Innovation & Informatics Strategy at ACD/Labs argues why advances in data science need to be paired with AI data systems and why every future scientist should consider themselves a data scientist.
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