Pathology steered stratification network for subtype identification in Alzheimer's disease
Background Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative
disorder characterized by three neurobiological factors beta‐amyloid, pathologic tau, and …
disorder characterized by three neurobiological factors beta‐amyloid, pathologic tau, and …
Disentangling The Spatio-Temporal Heterogeneity of Alzheimer's Disease Using A Deep Predictive Stratification Network
A Zhen, M Kim, G Wu - 2021 IEEE 18th International …, 2021 - ieeexplore.ieee.org
Alzheimer's disease (AD) is clinically heterogeneous in presentation and progression,
demonstrating variable topographic distributions of clinical phenotypes, progression rate …
demonstrating variable topographic distributions of clinical phenotypes, progression rate …
Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data
Alzheimer's disease (AD) is a degenerative brain disease impairing a person's ability to
perform day to day activities. The clinical manifestations of Alzheimer's disease are …
perform day to day activities. The clinical manifestations of Alzheimer's disease are …
Identifying Progression-Specific Alzheimer's Subtypes Using Multimodal Transformer
Alzheimer's disease (AD) is the most prevalent neurodegenerative disease, yet its current
treatments are limited to stopping disease progression. Moreover, the effectiveness of these …
treatments are limited to stopping disease progression. Moreover, the effectiveness of these …
AT [N]-Net: multimodal spatiotemporal network for subtype identification in Alzheimer's disease
Alzheimer's disease (AD) is a heterogeneous, multifactorial neurodegenerative disorder,
where beta-amyloid (A), pathologic tau (T), neurodegeneration ([N]), and structural brain …
where beta-amyloid (A), pathologic tau (T), neurodegeneration ([N]), and structural brain …
Deep learning for subtyping the Alzheimer's disease spectrum
MF Romano, VB Kolachalama - Trends in molecular medicine, 2022 - cell.com
In a recent article from Cell Reports Medicine, Kwak et al. generate novel insights about
subtyping cognitively impaired individuals based on structural imaging. Quantifying …
subtyping cognitively impaired individuals based on structural imaging. Quantifying …
Uncovering the heterogeneity and temporal complexity of neurodegenerative diseases with Subtype and Stage Inference
The heterogeneity of neurodegenerative diseases is a key confound to disease
understanding and treatment development, as study cohorts typically include multiple …
understanding and treatment development, as study cohorts typically include multiple …
Novel Alzheimer's disease subtypes based on functional brain connectivity in human connectome project
J Sheng, Y Xin, Q Zhang, Z Yang, L Wang, Q Zhang… - Scientific Reports, 2024 - nature.com
The pathogenesis of Alzheimer's disease (AD) remains unclear, but revealing individual
differences in functional connectivity (FC) may provide insights and improve diagnostic …
differences in functional connectivity (FC) may provide insights and improve diagnostic …
Resolving heterogeneity in Alzheimer's disease based on individualized structural covariance network
C Zheng, W Zhao, Z Yang, D Tang, M Feng… - Progress in Neuro …, 2024 - Elsevier
The heterogeneity of Alzheimer's disease (AD) poses a challenge to precision medicine. We
aimed to identify distinct subtypes of AD based on the individualized structural covariance …
aimed to identify distinct subtypes of AD based on the individualized structural covariance …
Deep learning-driven risk-based subtyping of cognitively impaired individuals
Quantifying heterogeneity in Alzheimer's disease (AD) risk is critical for individualized care
and management. Recent attempts to assess AD heterogeneity have used structural …
and management. Recent attempts to assess AD heterogeneity have used structural …