The primary objective of the MES-CoBraD project is to improve early, accurate, and comprehensive diagnosis of CoBraD through the multisource-multidisciplinary MES-CoBraD Assessment Protocol.


April 2021 – March 2024


Social Media

Facebook, Twitter & Linkedin

LIBER Strategy Link

Research Infrastructure

LIBER Libraries Participating in the Project

  • Vrije Universiteit Brussel (Belgium)
  • Uppsala University (Sweden)
  • King’s College London (UK)
  • University of Edinburgh (UK) 

The Multidisciplinary Expert System for the Assessment & Management of Complex Brain Disorders (MES-CoBraD) is an interdisciplinary project. It combines Real-World Data (RWD) from multiple clinical and consumer sources through comprehensive, cost-efficient, and fast protocols to improve diagnostic accuracy and therapeutic outcomes in people with Complex Brain Disorders (CoBraD), as reflected in Neurocognitive (Dementia), Sleep, and Seizure (Epilepsy) disorders and their interdependence.  

The project brings together clinical information and scientific research in CoBraD with technical innovation in secure data-sharing platforms, artificial intelligence algorithms, expert systems of precision and personalised care, and advanced data analytics. Throughout the project, there is a clear focus on improving the quality of life of patients, their caregivers, and society at large. This is done by leveraging RWD from diverse CoBraD populations across cultural, socioeconomic, educational, and health system backgrounds, with special attention on including vulnerable populations and minorities in an equitable manner and engaging key stakeholders to maximise project impact.  


LIBER’s Role 

LIBER leads project activities related to stakeholder engagement activities and opportunity-based dissemination. LIBER also participates and supports the development of legal and ethical frameworks, landscape analysis and methodology, RWD acquisition pilots, and awareness-raising, dissemination and communication.  

LIBER’s participation helps ensure that members within the library community stay up to date with the project’s cutting-edge usage and innovation with RWD and data management. Furthermore, the project aims to engage citizen scientists throughout the project cycle and LIBER’s network will help facilitate this objective.  


  • This field is for validation purposes and should be left unchanged.

Key Objectives

  • Improve early, accurate, and comprehensive diagnosis of CoBraD through the multisource-multidisciplinary MES-CoBraD Assessment Protocol 
  • Improve clinical and social outcomes prognostic accuracy of CoBraD through the MES-CoBraD Advanced Analytic deep-phenotyping algorithms 
  • Identify novel purposes and evaluate safety and efficacy of approved therapies in CoBraD through the MES-CoBraD Platform’s Advanced Analytics modules 
  • Implement an effective clinical management Expert System algorithm for CoBraD that is well-tolerated and accepted by patients and their caregivers 
  • Integrate health data coming from different sources and in various formats supporting extraction of new value for CoBraD.

[Photo by Patrick J. Lynch, medical illustrator – Patrick J. Lynch, medical illustrator, CC BY 2.5,]

Project News

Do you have a question or comment about the MES-COBRAD project? Please fill out this form and mention ‘MES-COBRAD’ in the comment field together with your question/comment. We appreciate your thoughts.

  • This field is for validation purposes and should be left unchanged.