Developing a new method to identify individuals at risk for psychosis
CAPER: Computerized Assessment of Psychosis Risk
This study is looking to find better ways to spot early signs of psychosis using fun online tasks, and it's for people who are experiencing early symptoms as well as those who are healthy, so they can help create a tool that predicts how the illness might develop and improve treatment options.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Temple Univ of the Commonwealth NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project ID | NIH-10794992 on NIH RePORTER |
What this research studies
This research focuses on improving the early identification of individuals at clinical high risk for psychosis by developing a new psychosis symptom domain sensitive battery. It aims to utilize behavioral tasks that can be administered online, making the assessment more accessible. The study will recruit participants who are experiencing early symptoms of psychosis, as well as healthy controls, to determine which tasks effectively predict the course of the illness. By applying machine learning methods, the researchers hope to create a psychosis risk calculator that can enhance diagnosis and treatment options.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals who are experiencing early symptoms of psychosis and are seeking help.
Not a fit: Patients who are not experiencing any symptoms of psychosis or those who have already been diagnosed with psychosis may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and accessible methods for identifying individuals at risk for psychosis, potentially improving their treatment outcomes.
How similar studies have performed: Other research has shown promise in using machine learning and behavioral assessments for predicting mental health outcomes, indicating that this approach could be effective.
Where this research is happening
Philadelphia, United States
- Temple Univ of the Commonwealth — Philadelphia, United States (Active)
Researchers
- Principal investigator: Ellman, Lauren M — Temple Univ of the Commonwealth
- Study coordinator: Ellman, Lauren M
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 below.