2 citations · 5 across the 13 of their papers we have counts for
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Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks
Swadesh Pal, Roderick Melnik
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by the accumulation of amyloid-beta (A) and phosphorylated tau (p-tau) proteins, leading to cognit…
Brain Network Dynamics and Multiscale Modelling of Neurodegenerative Disorders: A Review
Hina Shaheen, Roderick Melnik
It is essential to understand the complex structure of the human brain to develop new treatment approaches for neurodegenerative disorders (NDDs). This review paper comprehensively…
Bayesian Approaches for Revealing Complex Neural Network Dynamics in Parkinson's Disease
Hina Shaheen, Roderick Melnik
Parkinson's disease (PD) belongs to the class of neurodegenerative disorders that affect the central nervous system. It is usually defined as the gradual loss of dopaminergic neuro…
Bayesian inference and role of astrocytes in amyloid-beta dynamics with modelling of Alzheimer's disease using clinical data
Hina Shaheen, Roderick Melnik, The Alzheimer's Disease Neuroimaging Initiative
Alzheimer's disease (AD) is a prominent, worldwide, age-related neurodegenerative disease that currently has no systemic treatment. Strong evidence suggests that permeable amyloid-…
Data-driven Stochastic Model for Quantifying the Interplay Between Amyloid-beta and Calcium Levels in Alzheimer's Disease
Hina Shaheen, Roderick Melnik, Sundeep Singh
The abnormal aggregation of extracellular amyloid- (Aβ) in senile plaques resulting in calcium (Ca^{+2}) dyshomeostasis is one of the primary symptoms of Alzheimer's disease (AD…