Completely artificial proteins that produce bioluminescence can serve as a non-invasive method for bioimaging, diagnostics, drug discovery, and more. Bioluminescence is the natural chemical process of ...

A practical calculator predicts the risk of epilepsy after venous stroke. The aim is to improve care for those affected, which are predominantly young adults.

Glioblastoma is the most common kind of malignant brain tumor in adults. So far, no treatment has been able to make this aggressive tumor permanently disappear. The tumor cells are too varied, and the ...

Wildland firefighters are under significant strain, often overworked and underpaid despite the growing need to respond to larger, more destructive fires. Building a more resilient and effective ...

An international research team has for the first time designed realistic photonic time crystals ---- exotic materials that exponentially amplify light. The breakthrough opens up exciting possibilities ...

A research team has succeeded in synthesizing simple, environmentally sensitive cells complete with artificial organelles. For the first time, the researchers have also been able to emulate natural ...

Researchers have developed a groundbreaking coating that could make medical devices safer for millions of patients, reducing the risks associated with blood clots and dangerous bleeding. The new ...

Obesity causes insulin resistance by increasing activation of the sympathetic nervous system and the release of the stress hormone norepinephrine, according to a new study.

For people who are pregnant or nursing, more use of personal care products is associated with higher detectable levels of synthetic chemicals known to have adverse health effects, a new study found.

Globally, emissions from different fossil fuels in 2024 are projected to increase: coal (0.2%), oil (0.9%), gas (2.4%). These contribute 41%, 32% and 21% of global fossil CO 2 emissions respectively.

An interdisciplinary team of researchers has developed a machine learning framework that uses limited water quality samples to predict which inorganic pollutants are likely to be present in a ...

Using data from historic ship measurements and Argo floats, researchers introduced a machine learning technique that improves assessment and analysis of the ocean's declining oxygen levels.