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K-Channelopathies 2026 Symposium
Hotel Mercure Paris Gare Montparnasse TGV - Paris, France 24-26 September 2026 "We are delighted to invite you to a landmark conference [...]
Innov4-ePiK articles
News, publications, events, and other content related to the Epilepsies Innov4-ePiK project. This section brings together key updates and highlights to keep you informed about the project’s progress.
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Publications
Expanding the phenotypic and genotypic spectrum of KCNT1-related epilepsies
Gras M., Quentin-Romand G., Chemaly N., Barcia G., KCNT1 consortium, Nabbout R., Brain Communications, 2026 https://doi.org/10.1093/braincomms/fcag256 Abstract The KCNT1 gene encodes for a sodium-activated potassium [...]
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Revealing Intermediate States of Voltage-Gated Potassium Channels with Physics-Informed Deep Learning: Application to Kv7.1
Kacher J., Tarek M., Frontiers in Biophysics, 2026 https://www.frontiersin.org/journals/biophysics/articles/10.3389/frbis.2026.1877588/abstract Abstract Voltage-gated potassium channels convert changes in membrane voltage into pore opening through conformational [...]
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Publications
Unveiling sleep disturbances in KCNB1‐related disorders: Insights from a cohort of 78 individuals
Scorrano G., Breuillard D., Thimon A., Chemaly N., Nabbout R., Epilepsia Open, 2026 https://doi.org/10.1002/epi4.70247 Abstract Objectives Sleep disturbances are frequent comorbidities in epilepsies and [...]
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Publications
Training-Free Graph-Based Imputation of Missing Modalities in Multimodal Recommendation
Malitesta D., Rossi E., Pomo C., Di Noia T., Malliaros F. D., IEEE Transactions on Knowledge and Data Engineering, 2026 [...]
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Professor Rima Nabbout and the entire RHU Innov4-ePiK team wish you very happy holidays.
Professor Rima Nabbout and the entire RHU Innov4-ePiK team wish you happy holidays and a very happy 2026
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Publications
ADMP-GNN: Adaptive Depth Message Passing GNN
Abbahaddou Y., Malliaros FD., Lutzeyer JF. Vazirgiannis M. https://arxiv.org/abs/2509.01170 Abstract Graph Neural Networks (GNNs) have proven to be highly effective in various graph [...]
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Save the date: Channelopathies meeting
Professor Rima Nabbout is pleased to announce a scientific and medical conference that will take place from September 24 to [...]
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Publications
Graph Neural Network Generalization with Gaussian Mixture Model Based Augmentation
Abbahaddou, Y., Malliaros, F. D., Lutzeyer, J. F., Aboussalah, A. M., & Vazirgiannis, M. https://arxiv.org/html/2411.08638v3 Abstract Graph Neural Networks (GNNs) have shown great [...]
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International KCNB1 Day – An exceptional mobilization for families
On Friday, May 30, 2025, the Institut Imagine hosted International KCNB1 Day, a significant gathering of families, patients, doctors, and [...]
