Machine learning quickly and accurately identified sugar chains based on electrical signals generated as they passed through tiny holes in a crystal wafer. The technology could reduce the time for sequencing glycosaminoglycan from years to minutes.
Two to five years after birth, mothers of children on the autism spectrum have several significantly different metabolite levels than mothers of typically developing children.
From inspiring creativity to promoting overall brain health, researchers say it's important to embrace boredom from time to time.
A new physiological test relies on an algorithm that analyzes metabolites in blood samples to predict whether a person has an ASD diagnosis. The algorithm was 94.7% effective in determining autism diagnosis and was slightly more reliable when co-occurring conditions, such as gastrointestinal disorders, were taken into account.
Researchers are looking to transcribe the brain's complex dynamics into new data models that can help better the understanding of the human brain and cognition.
Neuroimaging helps researchers observe what happens in the brain as a person is rotated. The study, which gives insight into how the brain moves after the head stops moving, also provides critical information for advancing studies of TBI.
During sepsis, the body sheds fragments of heparan sulfate, which crossed the blood-brain barrier and enters the hippocampus. The presence of heparan sulfate in the hippocampus may cause memory loss associated with septic shock.
Researchers found that differences in the plasma metabolites are indicative of the relative risk (18.7 percent vs 1.7 percent) for having a child with ASD.
A new study unites cognitive science and information theory, reporting our brains are structured to make the best possible decisions given their limited resources.
Researchers have developed a new algorithm that uses data based on metabolites in blood samples to successfully predict if a child is on the autism spectrum.
