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Understanding the molecular mechanisms of our internal clocks may enable the development of therapies for sleep disorders and other effects of clock disruption.

Researchers have discovered a neural mechanism common to both speech and sign errors.

Researchers have developed a computer algorithm based on Artificial Intelligence (AI) that can accurately predict the risk for and diagnose Alzheimer's disease using a combination of brain magnetic resonance imaging (MRI), testing to measure cognitive impairment, along with data on age and gender.

The immune responses of a female mouse before pregnancy can predict how likely her offspring are to have behavioral deficits if the immune system is activated during pregnancy, according to researchers from the Center for Neuroscience at the University of California, Davis

A new study suggests that the ability of the brain to extinguish fearful memories from the brain is reliant upon the flexibility of DNA.

Some technologists have forecast that automation will lead to a future without work, while other observers have been more skeptical about such scenarios. A new study puts firm numbers on the trend, finding a very real impact – although one that falls well short of a robot takeover.

Researchers have found that a switch in chemical messaging is a key prelude to motor skill acquisition from exercise.

Using microscopically fine 3D printing technologies and sound waves used as tweezers, scientists have directed the growth of tiny networks of neurons.

Researchers at UC Santa Cruz have collaborated on an algorithm designed to accurately and precisely assemble individual, complete human genomes from long-read sequencing data in about six hours and for about $70.

Overuse of antibiotics, high animal numbers and low genetic diversity from intensive farming increase the risk of animal pathogens transferring to humans and causing epidemics.