Scientists at Tokyo Tech, Ricoh co. and The National Institute of Advanced Industrial Science and Technology have developed an ultra-low-power atomic clock (ULPAC) for small satellites to enable future communication systems beyond 5G. The proposed device outperforms the current industry standards in various benchmarks, such as size, stability, and power consumption.

With their ability to treat a wide a variety of diseases, spherical nucleic acids are poised to revolutionize medicine. But before these digitally designed nanostructures can reach their full potential, researchers need to optimize their various components. A team has developed a direct route to optimize these particles, bringing them one step closer to becoming a viable treatment option for numerous diseases, including cancer.

Researchers have found a machine learning method that can predict the likelihood that a high-risk type of breast lesion is cancerous, potentially saving some women from unnecessary surgeries and overtreatment.

Untargeted metabolomics approaches are allowing previously unreported insights into the pathogenesis of disease. However, identifying the large numbers of unknown and structurally diverse metabolites typically present in biological samples has proven to be a major bottleneck. Fortunately, recent advances in technology and software are helping to overcome this challenge.

The UK’s national health system needs to take a hard look at their priorities and procedures to ensure that rapid advances in molecular diagnostics in lung cancer are translated into a practical service for all patients, according to a report launched at the British Thoracic Oncology Group Annual Conference.

First developed in the 1970s, recent developments are making microflow liquid chromatography techniques more robust – enticing researchers to revisit the opportunities it offers for more sensitive, high-throughput analyses requiring smaller sample volumes than standard flow techniques.

Big data has long been a buzzword in drug discovery, but as analysis methods become more sophisticated, its potential is beginning to be realized. We look at some of the latest advances in big data analysis for drug discovery.

Artificial intelligence (AI) is developing rapidly and becoming integrated into our daily lives. How is AI advancing medical imaging in the diagnostics world?

Wine forgery, including adulteration, counterfeiting (e.g. mislabeling/misrepresentation) and intellectual property infringement, takes place on a global scale, but is on the rise in central Europe. To help in the fight against fraud, the industry are turning to NMR fingerprinting to stamp out the problem.