Researchers push data-driven 'precision psychiatry' to personalize mental-health treatment
Scientists are developing precision psychiatry, an approach that splits broad psychiatric diagnoses into finer subgroups and uses data such as genetics, biometrics and socioeconomic factors to match patients with specific treatments and doses. The goal is to cut down on the current trial-and-error process of prescribing mental-health medications. Some researchers are actively testing these data-driven models, while others caution that clear evidence of benefit is still lacking.