Advancing Clinical Psychiatry: Integration of Clinical and Omics Data Using Machine Learning

In the current issue of Biological Psychiatry, Habets et  al. (1) focus on predicting the 2-year remission status for major depressive disorder (MDD) at an individual subject level, using baseline feature measurements. Remission refers to the absence or minimal presence of depressive symptoms, a crucial indicator for effective treatment planning. Through the application of machine learning (ML) to assess the combination of clinical and various omics factors, including genetics, transcriptomics, proteomics, and lipid metabolomics, the authors present a solution for the complex and heterogeneous etiology and phenotype of MDD.
Source: Biological Psychiatry - Category: Psychiatry Authors: Tags: Commentary Source Type: research