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


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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 combining Real-World Data (RWD) from multiple clinical and consumer sources through comprehensive, cost-efficient, and fast protocols towards improving 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.

It combines clinical information and scientific research in CoBraD with technical innovation in secure data-sharing platforms, artificial intelligence algorithms, expert systems of precision and personalized care, and advanced data analytics, with a primary focus on improving the quality of life of patients, their caregivers, and the society at large. It leverages 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 maximize project impact. 

LIBER’s Role

LIBER participates in activities related to legal and ethical frameworks, landscape analysis and methodology, pilot RDW acquisition, and raising awareness, dissemination and communication. LIBER will be leading stakeholder engagement activities and opportunity-based dissemination activities, while its overall role will focus on libraries in the lifecycle of RWD and their role in the creation and uptake of proposed solutions related to data management. 


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,]

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