Predicting ATL hypometabolism in PPA participants.
收藏数据链接:
官方服务:
资源简介:
Predicting ATL hypometabolism in PPA participants.
应用场景:
创建时间:
2020-08-18
相关数据集
The importance of early biomarkers in the identification of neurodegenerative disorders
In questa nota, abbiamo presentato i dati di 31 pazienti iRBD (idiopathic Rapid Eye Movement (REM) sleep Behaviour Disorder) studiati per tre anni per valutare la loro eventuale fenoconversione al mor
DataCite Commons2025-06-01 更新170
A combination model of AD biomarkers revealed by machine learning precisely predicts Alzheimer's dementia: China Aging and Neurodegenerative Initiative (CANDI) study
Introduction: To test the utility of the "A/T/N" system in the Chinese population, we study core Alzheimer's disease (AD) biomarkers in a newly established Chinese cohort. Methods: A total of 411 part
中国科学院中国科学技术大学科学数据中心80
Diagnostic potential of CSF biomarkers and clinical assessments in predicating Alzheimer’s disease progression.
Diagnostic potential of CSF biomarkers and clinical assessments in predicating Alzheimer’s disease progression.
NIAID Data Ecosystem40
DEMENTIA CARE APP AI POWERED SUPPORT AND EARLY DETECTION
The Dementia app leverages advanced image processing and deep learning, particularly ResNet-101, to predict dementia progression through brain MRI scans. Dementia, a neurodegenerative disorder causing
DataCite Commons2025-06-09 更新150
Supporting data for "A similarity-based approach to leverage multi-cohort medical data on the diagnosis and prognosis of Alzheimer's disease"
Heterogeneous diseases such as Alzheimer's disease manifest a variety of phenotypes among populations. Early diagnosis and effective treatment offer costbenefits. Many studies on biochemical and imagi
DataCite Commons2025-05-26 更新40



