Strengthening a Partnership

The collaboration between the Asian Regional Consortium for Headache (ARCH) and The Journal of Headache and Pain is strengthened. The proceedings of the 10th ARCH Congress, 18-19 December 2024, Colombo, Sri Lanka, will be published as a Supplement to The Journal of Headache and Pain.
Following the publication of the Thematic Series Migraine and Brain Health: Towards Better Understanding from the Asia-Oceania Region this further step of collaboration will contribute to global migraine research while emphasizing the perspectives and needs of the Asia-Oceania community.
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The Journal of Headache and Pain
The Journal of Headache and Pain is a peer-reviewed open access journal specifically dedicated to researchers involved in all aspects of headache and related pain syndromes, including epidemiology, public health, basic science, translational medicine, clinical trials and real-world data.
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AI Advancements in Headache Research: Navigating the Digital Frontier
The Collection entitled "AI Advancements in Headache Research: Navigating the Digital Frontier” delves into the intersection of machine learning technologies and migraine research, aiming to elucidate the intricate neurological aspects of migraine disorders. This Collection focuses on how advanced machine learning algorithms and computational techniques, as well as digital twin’s solutions, are being applied to analyze vast clinical, neurophysiological, and neuroimaging datasets, uncover patterns, and discern nuanced relationships within the complex landscape of migraine-related phenomena. Researchers leverage machine learning to sift through diverse factors influencing migraines, such as genetic predispositions, environmental triggers, and individualized symptomatology. The Collection explores the transformative potential of machine learning in deciphering the multifaceted nature of migraines, shedding light on elusive patterns that traditional research methods might overlook. Moreover, the Collection would like to emphasize the role of machine learning models in enhancing diagnostic accuracy, predicting migraine occurrences, and personalizing treatment approaches. By unravelling the neurological intricacies of migraines through innovative computational methods, this thematic Collection aims to underscore the promising advancements that machine learning brings to the forefront of migraine studies, providing a deeper understanding of these disorders and paving the way for more effective interventions. Nevertheless, this Collection is open to discussing the possible ethical implications of a diagnostic-therapeutic approach based solely or partly on artificial intelligence results. The goal is to effectively and ethically improve the diagnostic quality and therapeutic approach to treating primary headaches.
All submissions in this collection undergo the journal’s standard peer review process. Similarly, all manuscripts authored by a Guest Editor(s) will be handled by the Editor-in-Chief. As an open access publication, this journal levies an article processing fee (details here). We recognize that many key stakeholders may not have access to such resources and are committed to supporting participation in this issue wherever resources are a barrier. For more information about what support may be available, please visit OA funding and support, or email OAfundingpolicy@springernature.com or the Editor-in-Chief.
Publishing Model: Open Access
Deadline: Jun 15, 2025
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Publishing Model: Open Access
Deadline: Ongoing
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