A hybrid multimodal machine learning model for Detecting Alzheimer's disease
J Sheng, Q Zhang, Q Zhang, L Wang, Z Yang… - Computers in Biology …, 2024 - Elsevier
Alzheimer's disease (AD) diagnosis utilizing single modality neuroimaging data has
limitations. Multimodal fusion of complementary biomarkers may improve diagnostic …
limitations. Multimodal fusion of complementary biomarkers may improve diagnostic …
Relationship between sphingomyelin and risk of Alzheimer's disease: a bidirectional mendelian randomization study
H Zhu, R Lu, Q Zhou, Z Du… - Journal of Alzheimer's …, 2023 - content.iospress.com
Background: Alzheimer's disease (AD) is a complex neurodegenerative disorder whose
etiology involves multiple genetic and environmental factors. Sphingomyelin (SM) is a type …
etiology involves multiple genetic and environmental factors. Sphingomyelin (SM) is a type …
Establishment of a pharmacokinetics and pharmacodynamics model of Schisandra lignans against hippocampal neurotransmitters in AD rats based on microdi-alysis …
J Zhang, X Cui, S Zhao, Z Chang, J Zhang… - Frontiers in …, 2024 - frontiersin.org
Objective: Our previous studies substantiated that the biological activity of Schisandra
chinensis lignans during the treatment of Alzheimer's disease (AD) was mediated by …
chinensis lignans during the treatment of Alzheimer's disease (AD) was mediated by …
[HTML][HTML] Promoting Healthy Aging: Insights on Brain and Physiological Health-A Special Issue
This special issue focuses on healthy aging and neuroprotection, particularly in the context
of brain and physiological health during normal aging and Alzheimer's disease. It highlights …
of brain and physiological health during normal aging and Alzheimer's disease. It highlights …