A look at a new type of behavioral therapy designed to help children with autism understand emotions and interact better with others.
A study is examining whether a smartwatch can accurately detect irregular health rhythms, including atrial fibrillation, in wearers.
Researchers led by Daniel Palanker have discovered that an imaging technique known as interferometry could be used to monitor neuron behavior.
By learning more about the flows generated by a biofilm, researchers may discover new ways to cut off its supply of nutrients.
Scientists modify a well-established imaging technique using gold nanoparticles to see swaths of tissue at a single-cell level.
A study confirmed that patients with peripheral artery disease have a higher risk of heart attack, and are more likely to have a rarer type of heart attack.
In this In the Spotlight, graduate student Beatriz Robinson discusses her research on the enteric nervous system and her interests outside of science.
Stanford scientists are making efforts to create high-resolution simulated versions of the human brain, bells and whistles and warts and all.
By delivering a drug directly to beta cells, researchers may be able to spur insulin production and potentially develop a diabetes therapy in the future.
Although sparked by trauma, PTSD has a genetic component as well, which can influence what therapy is most successful and provide other insights.
New Stanford research found that knowing your genetic make-up can affect how your body responds and potentially affect your risk for certain conditions.
As part of a writer's reporting for a magazine story, she tested out new technology that's meant to keep drivers more relaxed.
A new analysis found that the National Institutes of Health is funding more conservative research projects, which does not promote great new discoveries, the authors argue.
Proteins that guide transcription factors from the nuclear membrane to the DNA cause drug-resistant skin cancers and are new targets for drug development.
A decades-long scientific collaboration points the way to therapies for "chemo brain," the cognitive impairment that follows cancer treatment.
Stanford researchers led by Gill Bejerano have developed an algorithm that can rapidly inform diagnoses using clinical records.