A 2026 Scientific Reports study of Maryland suicide-death records found that an XGBoost machine-learning model could reach 96.1% positive predictive value in hospital-discharge data at the top 0.1% risk threshold, but it still detected only 46.7% of suicide deaths in that cohort. Research Highlights Precision improved at the narrowest threshold: XGBoost reached PPV 0.961 in …
Clozapine is the only medication with proven efficacy for treatment-resistant schizophrenia, yet most eligible patients wait years before starting it. A 2026 paper by Perfalk and colleagues trains a machine-learning model on routine electronic health record data to flag candidates earlier.1 Research Highlights Clozapine is the only evidence-based treatment for treatment-resistant schizophrenia (TRS), but the …
Depression is a globally pervasive mental illness that often requires complex treatment strategies. One such strategy involves the use of Quetiapine, an antipsychotic medication, as an augmentation to antidepressants. However, determining the optimal dose of Quetiapine is challenging due to individual variability. A recent study utilizes machine learning techniques to develop a predictive model for …