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 Sept. 11 in the open-access journal PLOS Medicine by Matthew Spittal of the University of Melbourne, Australia, and colleagues.

Understanding the strategies and unmet needs of caregivers managing medications for people with Alzheimer’s disease or related dementias may improve the lives of both caregivers and patients. A recent study describes the strategies and the unmet needs of caregivers managing medications for people with Alzheimer’s disease or related dementias. The researchers identified three distinct caregiver personas: “Checklist Cheryl,” “Social Sam,” and “Responsive Rhonda.” Each persona embodies a different approach to medication management, varying in organization, technology use, collaboration and response to challenges. These nuanced personas can guide the design of customized caregiver support and digital health tools.

A new nanostructure acts like a wire and switch that can, for the first time, control and direct the flow of quantum quasiparticles called excitons at room temperature.