The accuracy of machine learning algorithms for predicting suicidal behavior is too low to be useful for screening or for prioritizing high-risk individuals for interventions, according to a new study published September 11 in the open-access journal PLOS Medicine by Matthew Spittal of the University of Melbourne, Australia, and colleagues.

It’s that time of year when many parents across the U.S. see their kids head off to college or leave home to start their working lives. For parents and guardians, experts say, the separation from their children can cause mixed feelings of loss, grief, loneliness, relief and freedom and can lead to unhealthy thoughts and behaviors.

A new study conducted at the Royal Horticultural Society (RHS) Wisley’s Wellbeing Garden has found that simply prompting people to actively notice natural features, such as birdsong, plant textures, and scents, can significantly improve their well-being.

A new study by the University of Eastern Finland explored who are most likely to adopt and actively use digital apps designed to promote well-being in North Savo, in the Eastern part of Finland. The study found that individuals with lower life satisfaction and those experiencing more challenges in their daily life were more likely to initiate app use. However, app engagement was, ultimately, most active among those with highest life satisfaction.