Latest Articles

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 highlight various high-throughput screening strategies being used to interrogate large libraries of compounds and hear from researchers working to further streamline specific approaches to increase speed and improve quality and accuracy.

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.

The theme for LGBT+ History Month this year is Medicine – #UnderTheScope, celebrating the contribution of LGBT+ individuals to medicine and healthcare. Here, we explore key figures often passed over when recounting significant contributions to medicine.

Up to 70% of women affected by polycystic ovary syndrome (PCOS) remain undiagnosed worldwide. In this article, we take a deep dive into the PCOS research landscape. How is the disorder diagnosed? What causes it? What treatments are available?

Artificial intelligence (AI) and machine learning (ML) are pretty much everywhere there are computers and connected devices. This article explores the use of AI in the process of drug discovery and clinical trials.

The efficacy of a drug candidate not only depends on the drug–target binding affinity, but also on the binding kinetics. This article outlines why studying drug binding kinetics is important in drug discovery, covering key approaches to measure the drug–target kinetics.