Implementing Technological Advances in Psychiatry: Challenges and Opportunities
A special issue of Medicina (ISSN 1648-9144). This special issue belongs to the section "Psychiatry".
Deadline for manuscript submissions: 31 December 2026 | Viewed by 12
Special Issue Editors
Interests: precision medicine; risk prediction; copy number variation; polygenic risk score; omics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Advancements in omics technologies and artificial intelligence (AI) have rendered the creation of predictive models integrating phenotypic and biological data more plausible for forecasting illness trajectories in psychiatric disorders. While clinical utility remains in perspective, there are tangible results that indicate promising future applications of precision psychiatry approaches paving the way for personalized treatment. Indeed, multimodal artificial intelligence tools could provide these means by incorporating various layers of data orthogonally related to psychiatric disorders, including genomics and other omics, environmental exposures, imaging measures, electronic health records, cognition, sensing devices, and clinical variables. The use of rapidly evolving AI models is promising to capture the multidimensional complexity of psychiatric disorders and delineate clinically relevant trajectories that could guide clinical care and therapeutic strategies. In this Special Issue, we offer an overview of how the implementation of precision psychiatry tools is being delivered in the field of mental health. We seek to present the state of the art on the progress made and on future perspectives related to the implementation of precision psychiatry tools in mental health. Specifically, we aim to provide a clear overview of how clinical and biological data could inform predictive models and reduce the burden of psychiatric disorders. We welcome the submission of research articles, reviews (narrative and systematic), and perspectives that may provide insights into how precision psychiatry is being delivered in mental health.
Dr. Mirko Manchia
Dr. Alessio Squassina
Guest Editors
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Keywords
- precision psychiatry
- machine learning
- risk stratification
- pharmagenomics
- AUC
- black box
- genomics
- epigenetics
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