Results 191 to 200 of about 7,401,268 (369)

Integration of Genetic and Imaging Data for Alzheimer's Disease Diagnosis and Interpretation

open access: yesAdvanced Science, EarlyView.
AlzCLIP is a novel contrastive learning framework that integrates single nucleotide polymorphism (SNP) profiles and MRI‐derived imaging features into a unified representation space to improve Alzheimer's disease (AD) diagnosis and interpretation. By achieving superior diagnostic accuracy and revealing key genetic and structural contributors to AD risk,
Yanfei Wang   +7 more
wiley   +1 more source

Diagnosis, Prognosis, and Drug Target Discovery for Chronic Widespread Pain: A Large Proteogenomic Study

open access: yesAdvanced Science, EarlyView.
Plasma proteomics is leveraged to decode the biological underpinnings of chronic widespread pain. A nested machine learning framework integrates proteomic signatures, prospective outcomes, and Mendelian randomization to uncover 18 causal proteins.
Li Chen   +16 more
wiley   +1 more source

Validating the SF-36 health survey questionnaire: new outcome measure for primary care.

open access: yesBritish medical journal, 1992
J. Brazier   +6 more
semanticscholar   +1 more source

Development of Age‐ and Sex‐Specific Metabolomics‐Based Biological Ageing Clocks for 10‐Year Mortality Prediction

open access: yesAdvanced Science, EarlyView.
Metabolomics‐based ageing clocks developed using blood biomarkers from over 215 000 European adults, improved the prediction of 10‐year all‐cause mortality compared to traditional models. Biological age acceleration is associated with higher mortality risk, as each additional year of metabolic age corresponded to at least 8% increased risk. These tools
Lei Peng   +4 more
wiley   +1 more source

Americanist Questionnaire

open access: yesPanorama
Jenni Sorkin   +1 more
doaj   +1 more source

Integrated Metabolic and Inflammatory Clustering Reveals Distinct Risk Profiles for Digestive Diseases

open access: yesAdvanced Science, EarlyView.
This study analyzes 398 432 participants, identifying four distinct metabolic‐inflammatory subtypes. These subtypes show a significant association with digestive disease risk. Cluster‐associated metabolite signatures partially explain this link. Machine learning models using these metabolites accurately predict risk for ten digestive diseases. Key risk
Zhenhe Jin   +10 more
wiley   +1 more source

MRI Epicenters Differentiate Spatiotemporal Patterns of Neurodegeneration in Parkinson's Disease

open access: yesAdvanced Science, EarlyView.
A connectivity‐based MRI epicenter model identifies two Parkinson's disease subtypes: subtype 1 with infratentorial‐dominant epicenters, severe motor symptoms, and rapid progression; and subtype 2 with supratentorial‐dominant epicenters with mild progression.
Xiaojie Duanmu   +23 more
wiley   +1 more source

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