A novel electricity-driven process produces valuable nitriles without the toxic cyanide reagents or high energy demands of conventional manufacturing.

A*STAR researchers develop a deep learning tool to overcome the lack of matched healthy DNA samples when identifying cancer-linked mutations in tumour sequencing data.

A new system from A*STAR researchers allows two types of radio signals used for sensing and communication to complement rather than interfere with each other.

A novel engineering approach helps cut wastage of a valuable metal component when capturing renewable energy through electrochemical processes.

The infection-causing fungus Candida auris repurposes a calcium pump into a drug export system, allowing its survival against a standard treatment.

AI-powered analysis of cardiac muscle motion could help identify microvascular obstruction without requiring contrast-enhanced imaging.

Integrating spatial information to the metabolic readouts of liver cancer samples reveals region-specific markers that conventional bulk profiling methods miss.

A*STAR researchers developed an AI-powered framework to identify microbial producers of valuable natural products from nature’s vast chemical landscape.

A machine learning framework proposes smarter experiments for optimising meat-like flavours by learning from the aroma and sensory profiles of each round of samples.

A new switchable radio frequency filter could help mobile devices stay compact, affordable while keeping up with the growing number of bands required by next-generation communication networks.