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Computational Causal Modeling of the Dynamic Biomarker Cascade in Alzheimer's Disease.

Jeffrey R PetrellaWenrui HaoAdithi RaoP Murali Doraiswamy
Published in: Computational and mathematical methods in medicine (2019)
We have developed and computationally implemented a mathematical causal model of the dynamic biomarker cascade theory in AD. We demonstrate the feasibility of this model by simulating biomarker evolution and cognitive decline in early- and late-onset natural history scenarios, as well as in a treatment scenario targeted at core AD pathology. Models resulting from this causal approach can be further developed and refined using patient data from longitudinal biomarker studies and may in the future play a key role in personalizing approaches to treatment.
Keyphrases
  • cognitive decline
  • late onset
  • mild cognitive impairment
  • early onset
  • climate change
  • case report
  • machine learning
  • big data
  • current status
  • data analysis