Using AI to identify markers of anxiety and depression
Official title: Deep Learning Based Natural Language Processing Markers of Anxiety and Depression
Funded at New York University School of Medicine · NIH-11088181 · Data updated 2026-11-12
This study is exploring how technology can help spot signs of depression and anxiety by looking at the way people communicate online, making it easier to keep track of these conditions without the usual hassle.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | June 8, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $196,956 |
| NIH project number | 5K23MH134068-03 |
| Project ID | NIH-11088181 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals experiencing symptoms of Major Depressive Disorder or Generalized Anxiety Disorder.
✕Less likely to help
Patients with other mental health conditions not related to anxiety or depression may not receive direct benefits from this research.
What this research studies
This research investigates how artificial intelligence and natural language processing can be used to identify digital biomarkers for Major Depressive Disorder (MDD) and Generalized Anxiety Disorder (GAD). By analyzing linguistic features from various sources, the study aims to create a more efficient and less burdensome method for monitoring these mental health conditions on a large scale. The approach focuses on overcoming the limitations of traditional assessment methods, which often rely on subjective measures. Ultimately, the goal is to enhance understanding and treatment of anxiety and depression through innovative technology.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and accessible methods for diagnosing and monitoring anxiety and depression, improving patient outcomes.
How similar studies have gone: Previous research has shown promise in using AI and natural language processing for mental health assessments, indicating potential for success in this novel approach.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Malgaroli, Matteo — New York University School of Medicine
- Study coordinator: Malgaroli, Matteo
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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.