Predicting language recovery after stroke using AI
Official title: Machine Learning Methods for Predicting Post-Stroke Aphasia and Language Recovery
Funded at Boston University (Charles River Campus) · NIH-11387931 · Data updated 2026-11-12
A new AI-based project uses brain scans and personal data to forecast how aphasia may progress after a stroke, with the goal of guiding personalized treatment.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston University (Charles River Campus) NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 1, 2025 |
| Project end | August 31, 2030 |
| Funding year | 2026 |
| Award (this year) | $665,175 |
| NIH project number | 5R01DC022565-02 |
| Project ID | NIH-11387931 on NIH RePORTER |
Who could benefit from this research
✓Could help
People who have aphasia following a stroke and can undergo MRI imaging and provide demographic and clinical information.
✕Less likely to help
Patients who cannot undergo MRI or participate in the data collection may not benefit from this project.
What this research studies
This project will combine multiple types of brain imaging and patient information to build an AI model that predicts language recovery in people who have aphasia after stroke. Researchers will create models that stay interpretable by using neural networks designed for each data type and include demographically relevant factors. The team aims to build a modular platform that can suggest the most effective treatments and provide personalized recovery outlooks.
Why it matters
Potential benefit: If successful, patients with aphasia could receive tailored treatment plans and clearer expectations for recovery.
How similar studies have gone: Previous work shows AI can predict medical outcomes from imaging, but this project emphasizes multimodal data and interpretability for aphasia recovery, which is relatively novel.
Where this research is happening
-
Boston University (Charles River Campus)
Boston, United States Active
Researchers
- Principal investigator: Venkataraman, Archana — Boston University (Charles River Campus)
- Study coordinator: Venkataraman, Archana
Related research
Other NIH-funded projects on the same topics.
-
Neural signals linked to recovery from aphasia after stroke
This grant follows people who recently had a stroke and aphasia to understand why some recover language abilities better than others.
-
Computational modeling of language in bilingual adults after stroke and with neurodegenerative conditions
A computer-based study will model how bilingual Spanish-English speakers experience language changes after stroke and with neurodegenerative disorders, to inform better care for affected patients.
-
Restoring speech with a brain implant for stroke-related aphasia
A study at UC Davis aims to help people who have language trouble after a stroke by using a tiny brain implant to turn brain signals into spoken words.
-
Neural signals of getting speech back after stroke
This grant studies how the brain changes as people recover speech after a stroke, to help predict and improve language recovery.
-
How the brain recovers language after a stroke
This research follows people with aphasia after stroke to find brain and behavior signs that predict who will regain speech and language.
-
Electrical Field Guided TMS and Constraint Induced Language Therapy for Subacute Post-Stroke Aphasia
This study tests a targeted brain stimulation plus speech therapy approach to help people with language loss after a recent stroke.
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.