Diagnostics articles from across Nature Portfolio

In this work, authors present a supramolecular fluorescent sensor array that enables the accurate discrimination of intracellular bacteria, also demonstrating that this can be modified as a host-guest drug delivery system to combat these bacteria.

Biomedical imaging continues to advance, providing ever more refined methods to diagnose and monitor diseases. Photoacoustic imaging, a hybrid modality that combines optical and acoustic technologies, stands out for its ability to deliver high-resolution images at a greater depth than optical microscopy. However, as with any imaging technology, its success will hinge on identifying specific clinical applications for which it offers clear advantages over established methods.

A machine learning framework — trained on B cell and T cell receptor sequences from thousands of people — can detect a range of infectious and autoimmune diseases.

Interim results from a large, ongoing study shows that genomic newborn screening identifies treatable conditions that would be missed by standard tests.

Dr Aude Sadet is a junior scientist who conducts research in the Biophysics and Biomedical Applications Laboratory at the Extreme Light Infrastructure of the National Research Institute for Physics in Magurele, Bucharest, Romania.

Researchers have developed a low-resource, environmentally friendly cancer-diagnosis platform that detects metabolites in dried serum spots.

The current drug development pipeline is time-consuming, costly and inefficient. To better model interactions between pharmaceuticals and human physiology and, thus, increase the likelihood of drug success in clinical trials, the effect of pharmacokinetic drug profiles on cellular behaviour should be tested early in drug development.