PCD-DT is a multimodal digital twin framework that models individualized cognitive decline trajectories and shows improved next-visit prediction on TADPOLE data using combined cognitive and MRI inputs.
Statistical learning for personalized prediction of alzheimer’s disease progression: A survey of methods, data challenges, and future directions
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Toward Personalized Digital Twins for Cognitive Decline Assessment: A Multimodal, Uncertainty-Aware Framework
PCD-DT is a multimodal digital twin framework that models individualized cognitive decline trajectories and shows improved next-visit prediction on TADPOLE data using combined cognitive and MRI inputs.