Severe MS predicted using machine learning

A combination of only 11 proteins can predict long-term disability outcomes in multiple sclerosis (MS) for different individuals. The identified proteins could be used to tailor treatments to the individual based on the expected severity of the disease.

Stranger than friction: A force initiating life

As the potter works the spinning wheel, the friction between their hands and the soft clay helps them shape it into all kinds of forms and creations. In a fascinating parallel, sea squirt oocytes (immature egg cells) harness friction within various com…

Main regulator for the body`s ‘oven’ discovered

Brown fat cells convert energy into heat — a key to eliminating unwanted fat deposits. In addition, they also protect against cardiovascular diseases. Researchers have now identified the protein EPAC1 as a new pharmacological target to increase brown …

The rock that creates clouds

Felspar dust in the air can create clouds. The feldspar particles act as nucleation sites to which water molecules can attach extremely efficiently. Why this is the case has remained a mystery for a long time. Scientists have now studied feldspar using…