A Stanford Medicine researcher provides insight into how to protect yourself and your home during wildfire season.
Stanford Medicine researchers collect data to better understand the state of mental heath in Muslim communities.
Learning techniques to build resilience lowers the stress and anxiety of raising a child with autism, Stanford research found.
A survey shows there's nothing inherent about being a physician that leads to burnout. The problems are long hours and shame about errors.
Serving chilaquiles, a Mexican breakfast, is one way Stanford Health Care food service workers support hospital workers during the pandemic.
The next phase of the global pandemic will bring new mental health challenges, so Stanford experts offer tips for building resilience.
Suicide attempts and other self-harm may increase among men under the age of 40 in states that allow recreational use of marijuana, particuarly those with for-profit dispensaries, Stanford study suggests.
Addiction specialist Keith Humphreys explains how the pandemic has affected three factors driving substance use — cues, comfort and convenience.
Anxiety is common, but if unchecked it can be harmful. Certain skills can help individuals manage anxiety, but if it persists or is severe, seek help.
Stanford researcher finds that inpatient psychiatric care helps long-term recovery rates for people with both mental illness and addiction.
More than a third of U.S. adults have had symptoms of anxiety and depression during the global pandemic, so Stanford experts are figuring out how to help.
Stress in 2020 seems worse than ever. Stanford's Andrew Huberman discusses ways to reduce stress, such as different breathing patterns.
Practicing meditation can alleviate mental stress and anxiety on college campuses, especially during the pandemic, Stanford experts say.
Body image is a key part of well-being, yet many of us have a conflicted relationship with our bodies. A Stanford Medicine psychologist offers guidance.
The pandemic has been what one Stanford psychiatrist called “a mixed bag” for people with addiction issues; some find fewer triggers, others face more.
Tracking brainwave patterns and symptoms in patients with depression, researchers used artificial intelligence to predict best treatment options.