Multi-AI Agents to Revolutionise the Management of Neurological Disease

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,

Neurological diseases now represent the leading cause of disability worldwide, with stroke affecting one in five women. Furthermore, projections indicate that nearly one-third of individuals aged over 75 years will experience a neurological condition during their lifetime. Despite these dismal statistics, current diagnosis and rehabilitative approaches remain largely subjective and inconsistent across healthcare systems. Artificial intelligence offers great potential for improving prediction, monitoring, and personalised treatment. The EIC-funded CEREBRIS project aims to develop an AI ecosystem for stroke care that integrates brain imaging, motion data, and neural signals to help clinicians objectively predict individual recovery trajectories. The generated platform has the potential to transform the stroke care pathway from early diagnosis to rehabilitation, reducing long-term disability and healthcare costs.