ABSTRACT

Neurodegenerative diseases (NDs) are complex disorders characterised by the progressive structural and functional deterioration of the brain. A common hallmark of many NDs is the accumulation of disease-specific misfolded and aggregated proteins, such as amyloid-beta and tau in Alzheimer’s disease, alpha-synuclein in Parkinson’s disease, and TDP-43 in Amyotrophic Lateral Sclerosis. In this presentation, we introduce a novel mathematical framework that integrates multiphysics and multiscale modelling, advanced computational techniques, and machine learning paradigms to elucidate the mechanisms underlying neurodegeneration. Extensive patient-specific numerical simulations are presented to validate the proposed methods.