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.

A*STAR researchers discover a new vaccine target for malaria that could offer more durable protection.

Simulations reveal how finely tuned lasers ‘forge’ strength and flexibility in 3D-printed steel, enabling more complex microengineering of high-performance components.

A*STAR researchers showcase the improved potency and safety of a new protective molecule for mRNA vaccines compared to commercial options.

A*STAR researchers demonstrate a fully solid-state battery from a dynamic polymer electrolyte, unlocking new possibilities for lithium-ion batteries.

Unlike conventionally destructive RNA extraction techniques, a new gentler RNA sampling platform enables profiling of the same cell samples repeatedly over time.

Even cutting-edge large language models can fall prey to persistent misleading arguments from users, a new evaluation framework reveals.