Predicting Psychosis Outcomes from Electronic Health Records
Official title: 2/5 Clinical Outcome Prediction of Psychosis from Electronic Health Records (COPPER)
Funded at New York Genome Center · NIH-11367491 · Data updated 2026-11-12
Researchers will use electronic health records to help predict how people with psychosis may fare over time and tailor care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York Genome Center NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 6, 2024 |
| Project end | May 31, 2029 |
| Funding year | 2026 |
| Award (this year) | $614,416 |
| NIH project number | 5R01MH137676-03 |
| Project ID | NIH-11367491 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals diagnosed with schizophrenia or related psychosis-related disorders who have longitudinal electronic health records available for analysis.
✕Less likely to help
Patients without access to comprehensive, de-identified health records or who do not engage with ongoing psychiatric care may see little direct benefit.
What this research studies
This project uses machine learning on long-term health records from people with schizophrenia to find patterns that predict future outcomes. By combining clinical data, person-level traits, and genetic information, the team aims to identify subgroups and personalize treatment plans. The work also considers ethical and psychosocial aspects of using clinical predictors in psychiatry. The goal is to improve decision-making, resource use, and prevention of adverse effects from antipsychotic medications.
Why it matters
Potential benefit: If successful, patients with psychosis could receive more accurate predictions to guide treatment choices and monitoring.
How similar studies have gone: Previous work in other medical fields shows promising results with EHR-based predictors, but psychiatric prediction remains an area with ongoing development.
Where this research is happening
-
New York Genome Center
New York, United States Active
Researchers
- Principal investigator: Zody, Michael C — New York Genome Center
- Study coordinator: Zody, Michael C
Related research
Other NIH-funded projects on the same topics.
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Psychosis in diverse settings across the world
This project studies how psychotic disorders show up and respond to treatment in adults with diverse backgrounds, including populations in Africa, the Caribbean, and other Global South settings.
-
Psychosis in Diverse Settings: Understanding Symptoms and Treatment Across Global South
A human-facing study will look at how psychotic disorders present and respond to treatment in adults from Africa, the Caribbean, and other Global South settings, using genetic and clinical data.
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A new online brain-scan-style tool to spot early psychosis risk
A new online-based set of tasks and a computer model aims to identify people at high risk for developing psychosis earlier and more accurately.
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Genetic clues for early-onset psychosis in Latino youth
This project looks at the genes of young people with early-onset psychosis and compares them with similar youths without psychosis to find genetic factors that contribute to the illness.
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Biomarkers to tailor rehab for Veterans with schizophrenia
A clinician-scientist is developing a brain-based biomarker to guide personalized rehabilitation for Veterans with schizophrenia.
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Computational analysis of facial expression in early psychosis
Aims to develop computer-based measures of facial expression in people at risk for or with schizophrenia to help track symptoms and guide future trials.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.