Журнал генетики и геномов

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Unleashing the Power of AI and Bioinformatics in Unraveling Complex Psychiatric Disorders


Mohammad Karimian

Complex psychiatric disorders pose significant challenges in diagnosis and treatment due to their multifactorial nature and inherent heterogeneity. However, the emergence of Artificial Intelligence (AI)-associated computational tools offers new possibilities for advancing our understanding of these disorders and improving patient care. This article explores the potential of AI-based computational tools in detecting and enhancing the treatment of complex psychiatric disorders, with a specific focus on Major Depressive Disorder. By leveraging integrative analysis techniques, such as bioinformatics and machine learning, on transcriptomics data, promising MDD-related biomarkers and pathways have been identified, paving the way for personalized medicine and targeted interventions.

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