AI-Driven Approaches to Neurodegeneration: From Disease Models to Therapeutic Strategies

Dear Colleagues,

Neurodegenerative diseases represent one of the greatest unmet medical challenges of our time, with profound societal, clinical, and economic consequences. Despite decades of research, effective disease-modifying therapies remain elusive. Recent advances in artificial intelligence (AI) are transforming our ability to interrogate these disorders across multiple scales, from molecular dynamics and protein conformational landscapes to patient-derived models and clinical trial design.

This Special Issue, “AI-Driven Approaches to Neurodegeneration: From Disease Models to Therapeutic Strategies”, aims to highlight cutting-edge contributions that integrate computational innovation with biological insight. We welcome studies leveraging machine learning, structural modeling, functional genomics, and systems-level approaches to uncover mechanisms of disease, identify therapeutic targets, and accelerate drug discovery. Contributions spanning basic science, translational pipelines, and clinical applications are encouraged.

By bringing together expertise across disciplines, this Special Issue seeks to catalyze new frameworks for understanding and ultimately treating neurodegenerative diseases.

Dr. Thomas R. Caulfield
Dr. Jianfu Li
Guest Editors

Dr. Naeyma N. Islam
Guest Editor Assistant

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