Travis Thompson

The paper introduces a dynamical ATN model to simulate and predict the spatiotemporal progression of Aβ, tau, and neurodegeneration in Alzheimer's disease using multimodal imaging data.

The paper develops a mechanistic model of tau protein dynamics using PET data to predict regional tau accumulation and disease progression stages in Alzheimer's patients.

This study shows that sleep deprivation reduces brain clearance rates but preserves their spatial pattern, affecting tau propagation differently in a computational model.

This paper validates a microfluidic device for CTC classification using cell trajectory analysis and machine learning, showing potential for early cancer detection.

This paper develops a mathematical model to study how brain clearance mechanisms interact with toxic protein progression and aging in neurodegenerative diseases like Alzheimer's.

The paper introduces a method using braid diagrams to analyze staging patterns in neurodegenerative diseases and shows how model choices affect staging outcomes.

The paper develops a coupled network-based model to study interactions between amyloid-beta and tau proteins in neurodegenerative diseases, revealing their cooperative role in disease propagation.