Latest Articles

In this article, we explore the theory, assumptions and interpretation of the Fisher’s exact test, used to investigate associations between two categorical, binary variables with small sample sizes, and take you through a worked example.

We take a deep dive into the current guides and policies for using AI-assisted technologies in scientific data generation and publication, asking: what does the future look like?

How do we reverse the tide and break down the barriers that are impeding women and girls in STEM? Courtney Noah explores the possible solutions in this opinion piece.

One key bottleneck in a laboratory setting is the amount of time wasted by researchers on inventory management. Explore how digitalization could help to overcome this.

The 34th International Symposium on Chromatography (ISC 2024) will be taking place this October in Liverpool, UK, but what will ISC 2024 offer attendees and what does the event mean for the scientific community?

In this article, we explore the evolution of drug repurposing from a serendipitous occurrence to a more formalized endeavor involving advanced computational approaches and bioengineered test beds, considering its advantages, challenges and successes.

Predatory conferences mimic legitimate academic events but lack essential academic standards. Susan Veldsman, Director of the Scholarly Publication Unit at ASSAf, scrutinizes these deceptive practices in Technology Networks’ Ask Me Anything session.

Our education system fails to furnish young people who will go on to be decision-makers, at home and in the workplace, with an adequate grasp of microbiology. The International Microbiology Literacy Initiative (IMiLI) is hoping to address this.

The publishing landscape for scientists is changing, and there is now a plethora of options available, whether commercial or society-associated, from which to choose. This article explores where society journals sit in our scientific publishing picture and how publishing fits with societies.

A novel technique, combining long-read sequencing and machine learning, enables rapid sterility testing in T-cell cultures. This will help accelerate treatment delivery and improve outcomes for patients undergoing cell therapy for incurable diseases.