Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages
TM Kim, J Son, JW Chun, Y Lee, DJ Kim, IY Choi… - Computers in Biology …, 2024 - Elsevier
Abstract Background Detecting and analyzing Alzheimer's disease (AD) in its early stages is
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
Exploring cross-tissue DNA methylation patterns: blood–brain CpGs as potential neurodegenerative disease biomarkers
V Mendonça, SC Soares-Lima… - Communications …, 2024 - nature.com
The difficulty of obtaining samples from certain human tissues has led to efforts to find
accessible sources to analyze molecular markers derived from DNA. In this study, we look …
accessible sources to analyze molecular markers derived from DNA. In this study, we look …
[HTML][HTML] Charting the shared genetic architecture of Alzheimer's disease, cognition, and educational attainment, and associations with brain development
The observation that the risk of developing Alzheimer's disease is reduced in individuals
with high premorbid cognitive functioning, higher educational attainment, and occupational …
with high premorbid cognitive functioning, higher educational attainment, and occupational …
Understanding the (epi) genetic dysregulation in Parkinson's disease through an integrative brain competitive endogenous RNA network
RM Piergiorge, ATR de Vasconcelos… - Mechanisms of Ageing …, 2024 - Elsevier
Parkinson's disease (PD) is a rapidly growing neurodegenerative disorder characterized by
dopaminergic neuron loss in the substantia nigra pars compacta (SN) and aggregation of α …
dopaminergic neuron loss in the substantia nigra pars compacta (SN) and aggregation of α …