News

A team has reported the highest resolution by far of the 3D genome of the primate brain, and demonstrated the molecular regulatory mechanisms of human brain evolution through cross-species multi-omics analysis and experimental validation.

A new study by researchers in Japan has examined the brain activity of thirty programmers of diverse levels of expertise, finding that seven regions of the frontal, parietal and temporal cortices in expert programmer's brain are fine-tuned for programming.

Using AI and supercomputers, researchers have discovered reoccurring patterns and combinations, known as "motifs", of the four molecular building blocks A, C, G and T, connecting them to gene expression, that is, average amounts of produced proteins.

An estimated 48 million cases of foodborne illness are contracted in the U.S annually. In some instances, the source is well known, but 80% of food poisoning cases are of unknown origin. A new study proposes a food safety monitoring system that utilizes consumer comments posted on websites to identify products associated with food-related illnesses.

The positions of air inlets and outlets in confined spaces, such as elevators, greatly affect airborne virus transmission. Researchers have shown that air purifiers may actually increase the spread. They use ultraviolet radiation to kill viruses and other microbes, but they also circulate air, sucking it in and exhausting cleaned air. This adds to overall circulation.

Researchers have taken another step forward in developing an artificial intelligence tool to predict schizophrenia by analyzing brain scans.

Companies integrate the Byos® software suite with high-resolution ion mobility mass spectrometry and accelerate biotherapeutic characterization workflows.

As the planet’s burden of rubber and plastic rises unabated, scientists look to the promise of closed-loop recycling to reduce trash. Researchers have discovered a potentially game-changing molecule, from a material used to make common products like tires and shoe soles, with vast implications for fulfilling that promise through depolymerization.

A team has published the results of a study that evaluates the accuracy and bias in gender and skin colour of automatic face recognition algorithms tested with real world data.

Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism.