Harvard Scientists Develop Model Predicting 75% of Suicide Attempts a Week in Advance

At a moment when mental health systems strain under the weight of preventable loss, researchers at Harvard have built an algorithm capable of identifying individuals likely to attempt suicide within seven days — with 75% accuracy. The tool draws not from new surveillance, but from data clinical systems already hold, suggesting it could slip into existing workflows without demanding more from already-burdened providers. Like all instruments that seek to anticipate human suffering, it arrives carrying both genuine promise and the harder questions that follow any attempt to translate statistical