ReviewPharmacogenomics and personalized medicine2020
Challenges and Future Prospects of Precision Medicine in Psychiatry.
Review in Pharmacogenomics and personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 78 citations in OpenAlex.
- Speech analysis and speech emotion recognition in mental disease: a scoping review.Frontiers in psychology · 2025Pooled it
- Neural systems underlying RDoC social constructs: An activation likelihood estimation meta-analysis.Neuroscience and biobehavioral reviews · 2023Pooled it
- Cluster-based psychological phenotyping and differences in anxiety treatment outcomes.Scientific reports · 2023Trial
- Ensemble clustering: A practical tutorial.Behavior research methods · 2026Article
- Neurobiological subtypes in alcohol use disorder and their phenotypic and clinical profiles.Molecular psychiatry · 2026Article
- A Narrative Review of Ethical Issues in Precision Psychiatry: Mapping Unresolved Tensions Across Modalities.Journal of personalized medicine · 2026Review
- Federated autoencoder-based clinical decision framework with hybrid class balancing.Scientific reports · 2026Article
- Precision medicine in mental health: applications, challenges, and recommendations.European psychiatry : the journal of the Association of European Psychiatrists · 2026Review
- Capturing naturalistic thoughts using a precision experience sampling idiographic approach.Cognitive research: principles and implications · 2026Article
- Value drivers and barriers to the adoption of Precision Psychiatry in Latin America: a qualitative study.BMC psychiatry · 2026Article
- Decoding psychotropic-induced metabolic disturbances: gut-brain axis, multi-omics, and nutrition-lifestyle integration.Frontiers in nutrition · 2026Review
- Ethical considerations in the clinical application of prediction tools for severe mental disorders: perspectives from child and adolescent psychiatrists.Global bioethics = Problemi di bioetica · 2026Article
- Development of a risk factor framework to inform machine learning prediction of young people's mental health problems: a Delphi study.JAMIA open · 2025Article
- Article
- Scalable Precision Psychiatry With an Objective Measure of Psychological Stress: Prospective Real-World Study.Journal of medical Internet research · 2025Observational
- AI for mental health: clinician expectations and priorities in computational psychiatry.BMC psychiatry · 2025Article
- Ethical and social issues in prediction of risk of severe mental illness: a scoping review and thematic analysis.BMC psychiatry · 2025Article
- Perspectives on Precision Psychiatry Using Antipsychotics in the Management of Bipolar Disorder.Brain sciences · 2025Review
- Review
- From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care.Biomedicines · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Precision medicine is increasingly recognized as a promising approach to improve disease treatment, taking into consideration the individual clinical and biological characteristics shared by specific subgroups of patients. In specific fields such as oncology and hematology, precision medicine has already started to be implemented in the clinical setting and molecular testing is routinely used to select treatments with higher efficacy and reduced adverse effects. The application of precision medicine in psychiatry is still in its early phases. However, there are already examples of predictive models based on clinical data or combinations of clinical, neuroimaging and biological data. While the power of single clinical predictors would remain inadequate if analyzed only with traditional statistical approaches, these predictors are now increasingly used to impute machine learning models that can have adequate accuracy even in the presence of relatively small sample size. These models have started to be applied to disentangle relevant clinical questions that could lead to a more effective management of psychiatric disorders, such as prediction of response to the mood stabilizer lithium, resistance to antidepressants in major depressive disorder or stratification of the risk and outcome prediction in schizophrenia. In this narrative review, we summarized the most important findings in precision medicine in psychiatry based on studies that constructed machine learning models using clinical, neuroimaging and/or biological data. Limitations and barriers to the implementation of precision psychiatry in the clinical setting, as well as possible solutions and future perspectives, will be presented.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.