Machine learning applied to Alzheimer's biomarkers in Down syndrome

machine learning Alzheimer's disease Down syndrome biomarkers gastrointestinal disease detection

Researchers are applying machine learning techniques to blood-based biomarkers to study Alzheimer's disease in individuals with Down syndrome. This study, involving multiple academic institutions, aims to improve the understanding and potential diagnosis of Alzheimer's within this specific population through advanced computational analysis of biological markers.

Entities

University of California Irvine · University of North Texas Health Science Center at Fort Worth · University of Pittsburgh · University of Wisconsin-Madison · Washington University School of Medicine in St. Louis

Sources

A Hybrid ViT-L/32-MaxViT-L Architecture With Adaptive Gated Fusion for Multiclass Gastrointestinal Disease Detection and Multi-method post-hoc Explainability [digitalcommons.library.tmc.edu]

14 days ago

Application of machine learning to blood-based biomarkers of Alzheimer's disease in Down syndrome [digitalcommons.wustl.edu]

14 days ago

Amyloid-β Seeding as a Basis for a Blood Test for Alzheimer's Disease [www.fightaging.org]

14 days ago

Longitudinal Dynamics of the Blood Proteome Within the Alzheimer Spectrum in Down Syndrome. - DZNEPUB [pub.dzne.de]

13 days ago