Predictive Modeling Could Help Put Patients With Depression on the Right Path

Depression can be tricky to treat. Not only do people respond to interventions differently depending on the cause and severity of their depression, but even when a treatment successfully alleviates a patient’s symptoms, the condition is likely to reoccur in the years to come, according to recent research by Zachary D. Cohen (University of California, Los Angeles) and colleagues in Clinical Psychological Science. Precision medicine, which is informed by predictive modeling, offers a promising avenue for providing patients and practitioners with the information necessary to decide on the right combination of medication and therapy.