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Mon. Jul 7, 2025

Tue. Jul 8, 2025

Wed. Jul 9, 2025

Thu. Jul 10, 2025

Fri. Jul 11, 2025

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A Geometrical aspect of calcium dysfunction hypothesis of Alzheimer’s disease in astrocytes and their networks

Mathematical models are increasingly applied to address complex challenges in both ecology and neurology. This symposium explores the intersection of mathematical modeling and biological systems, focusing on key topics: calcium dysregulation in Alzheimer's disease (AD), population dynamics, and the impacts of deoxygenation on coral reefs.<br>In ecology, researchers simulate ecosystems, helping to understand biodiversity, species interactions, and environmental changes while aiding in predicting the impacts of climate change and human activities for conservation efforts. In neurology, models are used to study brain function, neural networks, and neurological disorders like Alzheimer's and Epilepsy offering insights into disease mechanisms and guiding treatment developments. This interdisciplinary approach helps address global challenges in health and sustainability. <br>This symposium will provide a platform for exploring the power of mathematical models in understanding complex neurological and ecological systems. Bringing together experts from both fields will foster interdisciplinary discussions on how modeling can enhance our understanding of brain function, neurological disorders, and ecosystem dynamics. Participants will gain insights into innovative modeling techniques and their applications in addressing global health, sustainability, and conservation challenges. The exchange of ideas will encourage collaborative approaches to tackling pressing issues in ecology and neurology.

Unravelling Double Trouble: Using Mathematical Models to Tackle Ecological Challenges and Neurological Disorders

Joint Meeting of Asian Conference for Mathematical Biology and Annual Meeting of Japanese Society for Mathematical Biology (ACMB-JSMB2025)

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[SS25-06]A Geometrical aspect of calcium dysfunction hypothesis of Alzheimer’s disease in astrocytes and their networks

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