SOURCE-LINKED INTELLIGENCE

GALVANI Scalable Workflow Innovation for Focal tES Therapy

CORDIS · observation · Publication date unknown

lt in a more complex, time-consuming, and costly personalization process. To overcome these obstacles on the path from ground-breaking research to innovation, the SWIFT project introduces an AI-based deep learning approach that enhances MRI data quality and automates the handling of anatomical alterations, such as brain lesions, improving model accuracy and reducing processing time. To ensure translation into innovation, the project will develop a business strategy that addresses productization, regulatory, intellectual property, and commercialization challenges toward the goal of making model-driven tES therapy more scalable, cost-effective, and accessible to a broader range of epilepsy patients.

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recordType

award

status

SIGNED

region

EU

value

150000

unit

EUR