Description
Migraine is one of the most disabling and undertreated neurological conditions globally, disproportionately affecting women and creating a major socio-economic burden.
Progress in understanding the complex pathophysiology of migraine is hindered by key research bottlenecks. These include unimodal study designs lacking multidisciplinary integration, non-standardized data collection and analysis, and heterogeneous participant groups, all of which limit the ability to capture the full biological diversity of migraine subtypes. To enable meaningful analysis, harmonisation of tools, protocols, and methodologies is essential, a process that requires coordinated, cross-border collaboration. MigrAInet, a multidisciplinary network of neurologists, neuroradiologists, neuroengineers, multiomics scientists, and AI experts, provides the ideal framework to build consensus on best practices and ensure standardised, multimodal data collection, including neuroimaging, wearable biosensing, and multiomics.
This harmonised approach will support large-scale data acquisition, resulting in a large, open-access migraine data repository, enabling the application of machine learning to stratify patients into clinically meaningful subgroups and develop predictive models and digital health tools for precision diagnosis and treatment. Additionally, the MigrAIne database will provide data and tools to discover novel biomarkers and AI-driven solutions for patient monitoring and therapy optimization.
Additionally, MigrAInet will empower Young Researchers and Innovators and women in science, enabling necessary training in multimodal approaches for migraine investigation and management. This will help reduce disparities across European countries (especially in ITCs), and foster new collaborations with industry, patient organizations, and policymakers. Ultimately, leading to a reduction of the personal and societal burden of migraine through science-driven policy, equality, and care standardization.
Action keywords
Migraine subtypes - Multimodal data integration - Digital phenotyping - Artificial intelligence - Personalized medicine
Management Committee
| Country | MC Member |
|---|---|
| No records found | |
Main Contacts
Action Contacts
COST Staff
Working Groups
| Number | Title | Leader |
|---|---|---|
| 1 | Standardization and integration of clinical, neuroimaging, and multiomics data in migraine research | TBA |
| 2 | Innovative strategies for DP of migraine subtypes | TBA |
| 3 | AI-driven data analysis and DT approaches for biomarker discovery,subtype classification | TBA |
| 4 | Dissemination of new knowledge and engagement with relevant stakeholders | TBA |
| 5 | Training of YRIs and promotion of gender balance,inclusiveness and multidisciplinarity | TBA |
Express your interest to join any of the working groups by applying below.
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