A machine learning model can effectively predict a patient’s risk for a sleep disorder using demographic and lifestyle data, physical exam results and laboratory values, according to a new study ...

The research, “Machine learning-based prediction of sleep apnea and insomnia using objective sleep data from a contactless smartphone application,” was recently presented at the World Sleep Congress ...

Affecting as many as 30% of cancer survivors, chronic insomnia can be effectively treated with intensive cognitive-behavioral techniques, but such methods are time-consuming, costly, and limited by ...

Introduction Cannabis use is common in the USA and is associated with adverse outcomes across many domains, including sleep difficulties. Targeting insomnia with an evidence-based treatment could ...

Cognitive behavioral therapy for insomnia (CBT-I) is an effective, first-line treatment option. A doctor may prescribe sleeping pills if CBT-I does not work for a person. A person with insomnia has ...

Insomnia affects roughly 10% of the population. Those who suffer from this sleep disorder constitute a wide variety of personalities and family histories. The inconsistent pattern among these patients ...

Insomnia is a sleep disorder in which you have trouble falling asleep, staying asleep, or waking up too early. The condition can be short term (acute) or can last a long time (chronic). It may also ...

This Journal feature begins with a case vignette highlighting a common clinical problem. Evidence supporting various strategies is then presented, followed by a review of formal guidelines, when they ...