Latest Articles

In this article, we discuss how the most advanced laboratory informatics software can enhance the scientific experience across both physical lab work and data management and analysis, enabling analysts to focus on what matters – science.

This article explores why the traditional process of sorting through RWD is a challenge, what value is lost through that process, and the underlying technology needed to be able to filter and sort data in a compliant manner.

Regulatory guidance relating to analytical procedures is in the process of changing to a lifecycle approach to ensure that procedures are suitable for intended use across all phases of the drug development life cycle.

This article will outline how automation is currently adopted in vaccine development, including workflows and methods to improve efficiency. In addition, it will explore future opportunities to implement automation when developing vaccines.

A model surface that mimics cicada wings was investigated to understand precisely how the insects get rid of contaminants from them and look at how this knowledge could prove useful in our own lives.

Predatory conferences are the ramshackle distant cousin of your regular scientific event, a Fyre Festival of science (without the involvement of Ja Rule). It is getting harder to separate fake conferences from real ones. Given this deluge of dodgy science, we have created a guide to spotting and avoiding predatory conferences.

Cryo electron microscopy (cryo EM) has revolutionized our understanding of the intricate molecular machinery that governs life. In this article, we discuss what cryo EM is, how it works, it's strengths, limitations and applications.

What does a self-driving clinical trial look like and what does it mean for the industry? Explore the ins and outs of AI in clinical development in this article.

In this article, we highlight some of the key technologies fueling digital transformation and explore the impacts they are having on laboratory efficiencies.

In this article, we look at two of the hottest areas in protein engineering for therapeutic applications and how machine learning and artificial intelligence is set to transform the field.