Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Donna Tjandra"'
Autor:
Chase Irwin, Donna Tjandra, Chengcheng Hu, Vinod Aggarwal, Amanda Lienau, Bruno Giordani, Jenna Wiens, Raymond Q. Migrino
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 16, Iss 1, Pp n/a-n/a (2024)
Abstract INTRODUCTION Identifying mild cognitive impairment (MCI) patients at risk for dementia could facilitate early interventions. Using electronic health records (EHRs), we developed a model to predict MCI to all‐cause dementia (ACD) conversion
Externí odkaz:
https://doaj.org/article/02df87a8bd5f4b6dbdfa9050c2035b36
Publikováno v:
Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 6, Iss 1, Pp n/a-n/a (2020)
Abstract Background We sought to leverage data routinely collected in electronic health records (EHRs), with the goal of developing patient risk stratification tools for predicting risk of developing Alzheimer's disease (AD). Method Using EHR data fr
Externí odkaz:
https://doaj.org/article/aabf6c31a9294b3b86175d5837fb989e
Autor:
Devendra Goyal, Donna Tjandra, Raymond Q. Migrino, Bruno Giordani, Zeeshan Syed, Jenna Wiens, Alzheimer's Disease Neuroimaging Initiative
Publikováno v:
Alzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring, Vol 10, Iss 1, Pp 629-637 (2018)
Abstract Introduction Models characterizing intermediate disease stages of Alzheimer's disease (AD) are needed to inform clinical care and prognosis. Current models, however, use only a small subset of available biomarkers, capturing only coarse chan
Externí odkaz:
https://doaj.org/article/c6f5bceb656844189e7b31ee443b8ec6
Publikováno v:
Alzheimer's & Dementia. 18:2368-2372
Studies investigating the relationship between blood pressure (BP) measurements from electronic health records (EHRs) and Alzheimer's disease (AD) rely on summary statistics, like BP variability, and have only been validated at a single institution.
Publikováno v:
Alzheimer’s & Dementia: Translational Research & Clinical Interventions, Vol 6, Iss 1, Pp n/a-n/a (2020)
Alzheimer's & Dementia : Translational Research & Clinical Interventions
Alzheimer's & Dementia : Translational Research & Clinical Interventions
Background We sought to leverage data routinely collected in electronic health records (EHRs), with the goal of developing patient risk stratification tools for predicting risk of developing Alzheimer's disease (AD). Method Using EHR data from the Un
Publikováno v:
ASONAM
For trajectory data that tend to have beyond first-order (i.e., non-Markovian) dependencies, higher-order networks have been shown to accurately capture details lost with the standard aggregate network representation. At the same time, representation
Autor:
Donna Tjandra, Frank Sicheri, Noah Manczyk, Maria Augusta Satori, Carsten Schwerdtfeger, Bradley B. Brasher, Sachdev S. Sidhu, Taras Makhnevych, Ashwin Seetharaman, Joan Teyra, Michael Costanzo, Charles Boone, Jason Moffat, Natasha Pascoe
Publikováno v:
Journal of molecular biology. 431(6)
We applied a yeast-two-hybrid (Y2H) analysis to screen for ubiquitin variant (UbV) inhibitors of a human deubiquitinase (DUB), ubiquitin-specific protease 2 (USP2). The Y2H screen used USP2 as the bait and a prey library consisting of UbVs randomized
Publikováno v:
Alzheimer's & Dementia. 15:P1530-P1531
Publikováno v:
Alzheimer's & Dementia. 15:P1531-P1531