Latest Articles

An automated and cost-effective workflow in immunopeptidomics, utilizing microfluidics technology, has been created that overcomes limitations in sample preparation and could be a powerful tool for tumor antigen discovery in sparse samples.

Scientists have identified a number of biomarkers associated with progression of Type 2 diabetes to predict insulin resistance development, which could help to manage the disease and improve patient outcomes.

This article explores complexities in proteomics and highlights some promising technological advances in this area.

In this article, we take a deep dive into the world of epigenetic aging clocks, finding out what they are, what they can tell us and how they might be applied in future.

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.

A new molecule, based on the anti-diabetes drug metformin, can bind copper, found to be important in acute inflammation, sepsis and cancer dissemination, and thus holds great promise for new therapy.

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.

This article sheds light on the issue of image integrity in academic publishing and gives advice on how to reduce the risk.

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.

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.