Researchers have developed a statistical model that predicts the likelihood of female childhood cancer survivors developing premature menopause as they grow up, which could help doctors personalize treatment and counselling options for patients.“We aimed to develop and validate models to predict age-specific risk among long-term survivors of childhood cancer, and our model showed robust prediction performance,” says Yan Yuan, a professor in the University of Alberta’s School of Public Health who led the research team that developed the tool, including an online calculator to help patients assess their risk.Primary ovarian insufficiency, also known as premature menopause, is the term used...