MES-CoBraD
Research type
Research Study
Full title
Multidisciplinary Expert System for the Assessment & Management of Complex Brain Disorders
IRAS ID
306433
Contact name
Antonio Valentin
Contact email
Clinicaltrials.gov Identifier
N/a, N/a
Duration of Study in the UK
1 years, 6 months, 31 days
Research summary
Millions of Europeans of all ages live with brain disorders that both threaten their quality of life, and impact the sustainability of health systems. The EU-funded Multidisciplinary Expert System for the Assessment & Management of Complex Brain Disorders (MES-CoBraD) project aims to positively impact the lives of those with chronic and complex neurological disorders, by improving the diagnostic accuracy and therapeutic outcomes of complex brain disorders such as epilepsy, dementia, and sleep disorders. To achieve this, MES-CoBraD will combine "real-world" clinical data from diverse populations with cost-efficient and time-expedient research protocols. This European project will draw on expertise in medicine, engineering, computer science, and social science to ultimately help improve quality of life for those living with such disorders, their caregivers, and society. The aim of the MES-CoBraD project is improving diagnostic accuracy and therapeutic outcomes in people with CoBraD, through the development of deep phenotyping algorithms, developing an advanced analytics platform, and implementing an effective clinical management Expert System algorithm for the diagnosis of complex brain disorders including epilepsy and sleep. In short, to innovatively use data in new ways to improve clinical diagnosis through collecting large volumes of data to train AI models.
The aim of the current protocol is to prospectively recruit 60 patients with epilepsy and/or sleep disorders undergoing routine clinical assessment at King's College Hospital Telemetry Unit; share their "real-world" clinical data (both routine and research) with the MES-CoBraD consortium for the development of the of the advanced analytics platform. We will collect clinical history, blood, hair, neuropsychology (questionnaires), actigraphy (sensor monitoring), PSG (Polysomnography) and EEG (Electroencephalography). We will also retrospectively collect and make use of further EEG and PSG, Magnetic Resonance Imaging (MRI), neuropsychology, and PET (positron emission tomography) scans from existing patient records.REC name
South Central - Berkshire B Research Ethics Committee
REC reference
22/SC/0369
Date of REC Opinion
17 Oct 2022
REC opinion
Favourable Opinion