3 results match your criteria: "Duke University School of Medicine and Duke Institute for Brain Sciences[Affiliation]"
Companion robots with AI may usher a new science of social connectedness that requires the development of ethical frameworks.
View Article and Find Full Text PDFDifferences in Risk of Alzheimer's Disease Following Later-Life Traumatic Brain Injury in Veteran and Civilian Populations.
J Head Trauma Rehabil
November 2023
Biodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, North Carolina (Drs Yashkin, Yashin, and Akushevich and Ms Gorbunova); Department of Psychiatry and Behavioral Sciences, Duke University Medical Center, Durham, North Carolina (Dr Tupler); and Departments of Psychiatry and Medicine, Duke University School of Medicine and Duke Institute for Brain Sciences, Durham, North Carolina (Dr Doraiswamy).
Objective: To directly compare the effect of incident age 68+ traumatic brain injury (TBI) on the risk of diagnosis of clinical Alzheimer's disease (AD) in the general population of older adults, and between male veterans and nonveterans; to assess how this effect changes with time since TBI.
Setting And Participants: Community-dwelling traditional Medicare beneficiaries 68 years or older from the Health and Retirement Study (HRS).
Design: Fine-Gray models combined with inverse-probability weighting were used to identify associations between incident TBI, post-TBI duration, and TBI treatment intensity, with a diagnosis of clinical AD dementia.
Data-driven causal model discovery and personalized prediction in Alzheimer's disease.
NPJ Digit Med
September 2022
Department of Mathematics, Penn State University, University Park, 16802, PA, USA.
Article Synopsis
- The rapid increase in biomarker data from Alzheimer's disease clinical trials has led to the creation of various mathematical models to track how these biomarkers change over time.
- Different models range from empiric to causal, with the latter grounded in hypotheses about the complicated mechanisms of Alzheimer's.
- This paper introduces a new data-driven method that builds and fine-tunes causal models for Alzheimer's biomarkers, allowing for personalized predictions of cognitive decline by analyzing a large dataset from the Alzheimer's Disease Neuroimaging Initiative.