SA38 GWAS-BASED MACHINE LEARNING APPROACH TO PREDICT DULOXETINE RESPONSE AND REMISSION IN MAJOR DEPRESSIVE DISORDER

Background Major Depressive Disorder (MDD) is one of the most prevalent psychiatric disorders and is commonly treated with antidepressant drugs. However, large variability is observed in terms of response to antidepressants. GWAS based Machine Learning (ML) models may be useful to predict treatment response, thus improving antidepressant treatment. Methods A sample of 186 MDD patients received treatment with duloxetine for up to 8 weeks were …