ReviewNature reviews. Drug discovery2026
Towards precision psychiatry: initial foundations and future directions.
Review in Nature reviews. Drug discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Psychiatric disorders carry a major public health burden, yet advances in treatment have been slow to emerge, partly owing to reliance on traditional symptom-based diagnostic frameworks. In this Perspective, we explore the emerging paradigm of precision psychiatry, which seeks to align therapeutic development with underlying neural biology dysfunctions using biomarkers. Drawing lessons from the success of precision oncology and neurology, precision psychiatry utilizes patient-specific biological measures of brain function - such as electroencephalography, objective behavioural assessments, functional magnetic resonance imaging and peripheral biomarkers - to understand drugs' effects on the brain, define indications and stratify patient populations for targeted intervention development. We discuss mechanistic approaches that focus on excitation-inhibition balance, reward and aversion circuits, hippocampal-prefrontal neuroplasticity, and processing of social cues, highlighting how these frameworks can elucidate drug mechanisms and predict treatment responses. Proof-of-concept examples, including predictors of response to standard-of-care treatments, and patient subgroup-driven successes in postpartum depression and schizophrenia, underscore the potential of stratified trials to reduce development risks and improve clinical outcomes. We address ongoing and future regulatory, commercial and clinical considerations for integrating scalable and reproducible biomarkers into drug development. Precision psychiatry thus represents a new strategy to refine clinical trial design and develop biology-defined treatments, which may help to overcome longstanding challenges in psychiatric drug discovery.
Identifiers
42637870What OpenQuestion holds
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.