Multi AI-Agents to Revolutionise the Management of Neurological Diseases

Objective

CEREBRIS is a groundbreaking project tackling one of the most pressing health challenges: neurological disease. These conditions now account for the highest share of global disability. By age 75, one in three people will be affected by a neurological condition, and one in five women will experience a stroke each year. These conditions disproportionately affect low- and middle-income countries. There is a critical need for solutions that are scalable, affordable, and personalised to patients. CEREBRIS aims to develop a secure, federated, and explainable AI ecosystem- starting with stroke care. Its AI models will be designed to form multiple types of patient data- such as brain scans, motion patterns and brain signals- to help doctors understand and predict more objectively how an individual is progressing and will recover after a brain injury. Using privacy-preserving technologies, the system will allow hospitals and clinicians to work together without ever sharing raw data, ensuring trust and compliance with global regulations. Long term, the platform will include multiple advanced clinical tools: AI Agents specialised in reasoning and prediction, signal integration and brain image synthesis, robotic and motion capture system to assess motor and sensory function, and an ethical biobank of real and simulated data for continuous learning. To enable this technological leap, a new comprehensive, longitudinal dataset from stroke survivors will be created- capturing geographic, clinical and real-world variations. Driven by a multidisciplinary European challenge-based consortium with deep expertise in neurology, AI, neurotechnology, and clinical translation, CEREBRIS will transform the entire stroke care pathway—from early diagnosis to recovery. By delivering precise diagnostics and targeted rehabilitation, CEREBRIS will significantly reduce long term disability, cut drastically healthcare expenses, and set a new standard for brain health globally,