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the Australian Imaging Biomarkers and Lifestyle study
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1
Author Correction: Multi-cohort and longitudinal Bayesian c..:
Poulakis, Konstantinos
;
Pereira, Joana B.
;
Muehlboeck, J.-Sebastian
...
Nature Communications. 15 (2024) 1 - p. , 2024
Link:
https://doi.org/10.1038/..
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2
Sixteen-Year Longitudinal Evaluation of Blood-Based DNA Met..:
Schäfer Hackenhaar, Fernanda
;
Josefsson, Maria
;
Nordin Adolfsson, Annelie
...
Journal of Alzheimer's Disease. 94 (2023) 4 - p. 1443-1464 , 2023
Link:
https://doi.org/10.3233/..
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3
Multi-cohort and longitudinal Bayesian clustering study of ..:
Poulakis, Konstantinos
;
Pereira, Joana B.
;
Muehlboeck, J.-Sebastian
...
Nature Communications. 13 (2022) 1 - p. , 2022
Link:
https://doi.org/10.1038/..
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4
Meta-analysis of genome-wide DNA methylation identifies sha..:
the Australian Imaging Biomarkers and Lifestyle study
;
Nabais, Marta F.
;
Laws, Simon M.
...
Genome Biology. 22 (2021) 1 - p. , 2021
Link:
https://doi.org/10.1186/..
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5
A deep learning model for brain age prediction using minima..:
Dartora, Caroline
;
Marseglia, Anna
;
Mårtensson, Gustav
...
Frontiers in Aging Neuroscience. 15 (2024) - p. , 2024
Link:
https://doi.org/10.3389/..
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6
Sex‐dependent cholinergic effects on amyloid pathology: A t..:
German‐Castelan, Liliana
;
Shanks, Hayley R. C.
;
Gros, Robert
...
Alzheimer's & Dementia. 20 (2023) 2 - p. 995-1012 , 2023
Link:
https://doi.org/10.1002/..
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7
Using artificial intelligence to learn optimal regimen plan..:
Bhattarai, Kritib
;
Rajaganapathy, Sivaraman
;
Das, Trisha
...
Journal of the American Medical Informatics Association. 30 (2023) 10 - p. 1645-1656 , 2023
Link:
https://doi.org/10.1093/..
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8
Enhanced Fuzzy Elephant Herding Optimization-Based OTSU Seg..:
Alhassan, Afnan M.
;
The Alzheimer's Disease Neuroimaging Initiative
;
The Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
Mathematics. 10 (2022) 8 - p. 1259 , 2022
Link:
https://doi.org/10.3390/..
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9
Differential blood miRNA expression in brain amyloid imagin..:
and the Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing
;
Wu, Helen Zong Ying
;
Thalamuthu, Anbupalam
...
Alzheimer's Research & Therapy. 12 (2020) 1 - p. , 2020
Link:
https://doi.org/10.1186/..
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10
Associating Cognition With Amyloid Status Using Partially O..:
Carr, Sarah J.A.
;
Jaeger, Judith
;
Bian, Shijia
...
Frontiers in Neurology. 10 (2019) - p. , 2019
Link:
https://doi.org/10.3389/..
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11
P3‐024: DIETARY FIBRE AND PROTEIN INTAKE AND ASSOCIATION WI..:
Fernando, Warnakulasuriya
;
Rainey-Smith, Stephanie R.
;
Gardener, Samantha L.
..
Alzheimer's & Dementia. 15 (2019) 7S_Part_18 - p. , 2019
Link:
https://doi.org/10.1016/..
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12
Alzheimer's disease progression and risk factors: A standar..:
Evans, Stephanie
;
McRae‐McKee, Kevin
;
Hadjichrysanthou, Christoforos
...
Alzheimer's & Dementia: Translational Research & Clinical Interventions. 5 (2019) 1 - p. 515-523 , 2019
Link:
https://doi.org/10.1016/..
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13
Innate phagocytosis by peripheral blood monocytes is altere..:
The Australian Imaging, Biomarkers and Lifestyle (AIBL) Study
;
Gu, Ben J.
;
Huang, Xin
...
Acta Neuropathologica. 132 (2016) 3 - p. 377-389 , 2016
Link:
https://doi.org/10.1007/..
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14
Phenomenological characterization of memory complaints in p..:
The Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL) Research Group
;
Buckley, Rachel F.
;
Ellis, Kathryn A.
...
Neuropsychology. 29 (2015) 4 - p. 571-581 , 2015
Link:
https://doi.org/10.1037/..
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15
Factors affecting subjective memory complaints in the AIBL ..:
Buckley, R.
;
Saling, M. M.
;
Ames, D.
...
International Psychogeriatrics. 25 (2013) 8 - p. 1307-1315 , 2013
Link:
https://doi.org/10.1017/..
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