Using behavioral data to improve mental health treatment outcomes
Official title: Phenotypes REimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR)
Funded at Icahn School of Medicine at Mount Sinai · NIH-11136982 · Data updated 2026-11-12
This study is looking at how we can use information from your conversations and smartphone habits to better understand and support young people with mental health challenges, helping to predict when someone might need extra care or support.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Icahn School of Medicine at Mount Sinai NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | July 11, 2024 |
| Project end | April 30, 2029 |
| Funding year | 2025 |
| Award (this year) | $3,397,071 |
| NIH project number | 5U01MH136535-02 |
| Project ID | NIH-11136982 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are young individuals aged 15 to 30 who are seeking mental health treatment.
✕Less likely to help
Patients outside the age range of 15 to 30 or those not seeking mental health treatment may not benefit from this research.
What this research studies
This research investigates how to enhance clinical decision-making in psychiatry by utilizing behavioral data collected during clinical interviews and from smartphones. By analyzing spoken language, eye contact, and other non-verbal cues, along with smartphone metrics like physical activity and sleep patterns, the study aims to create individualized clinical signatures. These signatures will help predict treatment disengagement and hospitalizations among young individuals seeking mental health support. The goal is to provide more reliable prognoses and improve treatment strategies for patients.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective mental health treatments for young patients.
How similar studies have gone: Previous research has shown promise in using behavioral data for clinical decision-making, indicating that this approach could be effective.
Where this research is happening
-
Icahn School of Medicine at Mount Sinai
New York, United States Active
Researchers
- Principal investigator: Kahn, Rene S. — Icahn School of Medicine at Mount Sinai
- Study coordinator: Kahn, Rene S.
Related research
Other NIH-funded projects on the same topics.
-
Improving Breast Cancer Guideline Adherence in Nigeria
Aimed at helping doctors in Nigeria follow international guideline-based breast cancer care to improve outcomes for women with breast cancer.
-
Genetically Validated PCOS Subtypes for Better Diagnosis and Risk Stratification
Aimed at women with polycystic ovary syndrome (PCOS), this project uses genetic data and patient characteristics to define distinct PCOS subtypes and improve how we diagnose and estimate risk.
-
Closed-loop control of interneuron timing to influence seizures and memory in epilepsy
A study tests a brain-quieting system that uses light to precisely time certain brain cells in epilepsy-prone mice to see if this can lessen seizures and improve memory.
-
Understanding why some brain regions and cells accumulate tau in Alzheimer’s and related diseases
Researchers are studying why certain brain areas and neuron types accumulate tau protein in Alzheimer’s and related conditions, and how this leads to brain changes and symptoms.
-
Improving blood flow after stroke by breaking down NETs
Aims to see if breaking down neutrophil extracellular traps (NETs) after an ischemic stroke can improve blood flow and reduce brain injury in patients.
-
Aging and brain injury connection: learning how late-life TBI relates to Alzheimer’s and related dementias
This grant looks at whether traumatic brain injuries in people 65 and older are linked to Alzheimer’s disease and related dementias, using a large, harmonized set of long-term aging studies.
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.