A team of Rice University bioengineers has developed a new way to create highly realistic "mock" patient samples that could ...

As the ski season gets shorter each year, participants are calling for more sustainable practices within the industry.

Regulators increasingly want medical device manufacturers to begin with a more precise understanding of their product's ...

Eco Material Technologies, aCRH Company, (“Eco Material” or the “Company”), the leading producer and supplier of supplementary cementitious materials (SCMs) in North America, announced today the ...

A portable molecular test, MiniDock MTB, detected pulmonary tuberculosis rapidly and accurately across seven high-burden ...

From predicting nanoparticle properties to crafting custom proteins, AI is accelerating biomaterial innovation in ways once thought impossible. Scientists are using machine learning to optimize ...

Artificial intelligence is revolutionizing biomaterial science, enabling faster, more precise, and cost-effective design processes. From predicting material properties to optimizing formulations and ...

At-home sleep tests offer a convenient way to diagnose sleep apnea without visiting a lab. CPAP machines are a highly effective, life-changing treatment for those with sleep apnea. Modern CPAP ...

Abstract: The development of patient-specific implants is limited by conventional trial-and-error biomaterial testing, which is time-consuming and costly. This paper ...

Natural engineering Javier G Fernández (left) and Akshayakumar Kompa are developing a sustainable biomaterial that uses surrounding water to achieve a better mechanical performance than that of common ...

This doesn’t bode well for humanity. Just in case bots weren’t already threatening to render their creators obsolete: An AI model redefined machine learning after devising shockingly deceitful ways to ...

Chao Hu is at the School of Mechanical, Aerospace, and Manufacturing Engineering, University of Connecticut, Storrs, Connecticut 06269, USA. The second category, data-driven lifetime prediction, uses ...