[HTML][HTML] Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

MD Machado-Fragua, B Landré, M Chen, A Fayosse… - BMC medicine, 2022 - Springer
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

MD Machado-Fragua, B Landré, M Chen… - BMC …, 2022 - pubmed.ncbi.nlm.nih.gov
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

MD Machado-Fragua, B Landré, M Chen… - BMC …, 2022 - search.proquest.com
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.

MD Machado-Fragua, B Landré, M Chen, A Fayosse… - BMC Medicine, 2022 - go.gale.com
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …

[HTML][HTML] Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

MD Machado-Fragua, B Landré… - BMC …, 2022 - bmcmedicine.biomedcentral.com
Age is the strongest risk factor for dementia and there is considerable interest in identifying
scalable, blood-based biomarkers in predicting dementia. We examined the role of midlife …

[HTML][HTML] Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

MD Machado-Fragua, B Landré, M Chen… - BMC …, 2022 - ncbi.nlm.nih.gov
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.

MD Machado-Fragua, B Landré, M Chen… - BMC Medicine, 2022 - europepmc.org
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study

MD Machado-Fragua, B Landré, M Chen… - BMC …, 2022 - discovery.ucl.ac.uk
BACKGROUND: Age is the strongest risk factor for dementia and there is considerable
interest in identifying scalable, blood-based biomarkers in predicting dementia. We …

[PDF][PDF] Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21‑year follow‑up of the Whitehall II cohort study

MD Machado‑Fragua, B Landré, M Chen… - 2022 - bmcmedicine.biomedcentral.com
Background: Age is the strongest risk factor for dementia and there is considerable interest
in identifying scalable, blood‑based biomarkers in predicting dementia. We examined the …

Circulating serum metabolites as predictors of dementia: a machine learning approach in a 21-year follow-up of the Whitehall II cohort study.

MD Machado-Fragua, B Landré, M Chen… - BMC Medicine, 2022 - europepmc.org
Background Age is the strongest risk factor for dementia and there is considerable interest in
identifying scalable, blood-based biomarkers in predicting dementia. We examined the role …