At the conclusion of this activity participants will be able to:
1. Describe the neural and behavioral factors that best predict language recovery after a stroke
2. Name different types of models that can help predict response to language treatment after a stroke
3. Identify the challenges of bilingual language rehabilitation and the benefit of computational models
Presenter:
Anne Billot, Presenter, has no relevant financial relationships to disclose.
Faculty member does not plan on discussing unlabeled/investigational uses of a commercial product.
- 1.00 AMA PRA Category 1 Credit™
Boston University Chobanian & Avedisian School of Medicine designates this Live activity for a maximum of 1.00 AMA PRA Category 1 Credit™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
- 1.00 Participation

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