Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

Researchers uncover geometric principles governing how particles self-assemble, solving a long-standing challenge in ...

Inspired by biological systems, materials scientists have long sought to harness self-assembly to build nanomaterials. The challenge: the process seemed random and notoriously difficult to predict.

It has been confirmed that some dogs with exceptional learning abilities can learn the names of objects by eavesdropping on ...

An alarming new study has linked several preservatives commonly found in some cured meats, toothpaste, salad dressings, ...

Nucleome Therapeutics nominates first preclinical development candidate First-in-class monoclonal antibody agonist programme for inflammation resolution with broad applicability across major chronic ...

CellVoyant, an AI-first biotech based in Bristol UK,  today launches FateView™, the first online predictive cell analytics platform designed to help cell-based therapeutic drug developers reduce costs ...

What components of water infrastructure are being 3D printed? Why is the technology beneficial? And how are companies ...

Most AI initiatives fail to deliver results, but chemical companies are finding success by learning what really works.

Main outcome measures Cumulative time dependent intake of preservatives, including those in industrial food brands, assessed using repeated 24 hour dietary records and evaluated t ...

With the start of the second funding phase of the "6G-life²" project, the Technical University of Munich (TUM) and the ...