Birkenbihl-lab
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10
posts tagged:
Cohort data
2023
Deep learning-based patient stratification for prognostic enrichment of clinical dementia trials
Nov 27
Data-Driven Thresholding Statistically Biases ATN Profiling across Cohort Datasets
Sep 06
Artificial intelligence-based clustering and characterization of Parkinson's disease trajectories
Feb 18
2022
Generation of realistic synthetic data using Multimodal Neural Ordinary Differential Equations
Aug 20
ADataViewer: exploring semantically harmonized Alzheimer’s disease cohort datasets
May 21
Comparison and aggregation of event sequences across ten cohorts to describe the consensus biomarker evolution in Alzheimer’s disease
Apr 20
2021
Unraveling the heterogeneity in Alzheimer’s disease progression across multiple cohorts and the implications for data‐driven disease modeling
Jun 09
ANMerge: A Comprehensive and Accessible Alzheimer’s Disease Patient-Level Dataset
Jan 05
2020
Evaluating the Alzheimer's disease data landscape
Dec 16
Differences in cohort study data affect external validation of artificial intelligence models for predictive diagnostics of dementia - lessons for translation into clinical practice
Jun 22