Neural operator framework infers reaction-diffusion dynamics of amyloid-β and tau from longitudinal PET data to create digital twins, reports 87% and 81% predictive accuracy, and formulates PDE-constrained optimal control for treatment.
The prediction accuracies for the left and right hemi- spheres are summarized in Table 2 and Table 3, respec- tively
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Neural operator-based digital twins for modeling amyloid-$\beta$ and tau propagation and treatment optimization in Alzheimer's disease
Neural operator framework infers reaction-diffusion dynamics of amyloid-β and tau from longitudinal PET data to create digital twins, reports 87% and 81% predictive accuracy, and formulates PDE-constrained optimal control for treatment.