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A blood-based predictor for neocortical Aβ burden in Alzheimer’s disease: results from the AIBL study
Author / Creator:Burnham, S C ; Faux, N G ; Wilson, W ; Laws, S M ; Ames, D ; Bedo, J ; Bush, A I ; Doecke, J D ; Ellis, K A ; Head, R ; Jones, G ; Kiiveri, H ; Martins, R N ; Rembach, A ; Rowe, C C ; Salvado, O ; Macaulay, S L ; Masters, C L ; Villemagne, V L
Publisher:London: Nature Publishing Group UK
Journal title:Molecular psychiatry, 2014-04, Vol.19 (4), p.519-526
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β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3
Author / Creator:Bourgeat, Pierrick ; Doré, Vincent ; Burnham, Samantha C. ; Benzinger, Tammie ; Tosun, Duygu ; Li, Shenpeng ; Goyal, Manu ; LaMontagne, Pamela ; Jin, Liang ; Rowe, Christopher C ; Weiner, Michael W. ; Morris, John C ; Masters, Colin L ; Fripp, Jurgen ; Villemagne, Victor L
Publisher:United States: Elsevier Inc
Journal title:NeuroImage (Orlando, Fla.), 2022-11, Vol.262, p.119527-119527, Article 119527
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Using imputation to provide harmonized longitudinal measures of cognition across AIBL and ADNI
Author / Creator:Shishegar, Rosita ; Cox, Timothy ; Rolls, David ; Bourgeat, Pierrick ; Doré, Vincent ; Lamb, Fiona ; Robertson, Joanne ; Laws, Simon M. ; Porter, Tenielle ; Fripp, Jurgen ; Tosun, Duygu ; Maruff, Paul ; Savage, Greg ; Rowe, Christopher C. ; Masters, Colin L. ; Weiner, Michael W. ; Villemagne, Victor L. ; Burnham, Samantha C.
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2021-12, Vol.11 (1), p.23788-23788, Article 23788
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Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses
Author / Creator:Youssofzadeh, Vahab ; McGuinness, Bernadette ; Maguire, Liam P. ; Wong-Lin, KongFatt
Publisher:Switzerland: Frontiers Research Foundation
Journal title:Frontiers in human neuroscience, 2017-07, Vol.11, p.380-380
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Factors affecting subjective memory complaints in the AIBL aging study: biomarkers, memory, affect, and age
Author / Creator:Buckley, R. ; Saling, M. M. ; Ames, D. ; Rowe, C. C. ; Lautenschlager, N. T. ; Macaulay, S. L. ; Martins, R. N. ; Masters, C. L. ; O'Meara, T. ; Savage, G. ; Szoeke, C. ; Villemagne, V. L. ; Ellis, K. A.
Publisher:Cambridge, UK: Cambridge University Press
Journal title:International psychogeriatrics, 2013-08, Vol.25 (8), p.1307-1315
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Bayesian changepoint models for amyloid‐centric synchronisation of biomarker trajectories in AIBL
Author / Creator:Saint‐Jalmes, Martin ; Beck, Daniel ; Bourgeat, Pierrick ; Masters, Colin L ; Goudey, Benjamin
Publisher:Hoboken: John Wiley and Sons Inc
Journal title:Alzheimer's & dementia, 2024-12, Vol.20 (S2), p.n/a
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Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD datab...
Author / Creator:Popuri, Karteek ; Ma, Da ; Wang, Lei ; Beg, Mirza Faisal
Publisher:Hoboken, USA: John Wiley & Sons, Inc
Journal title:Human brain mapping, 2020-10, Vol.41 (14), p.4127-4147
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The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease
Author / Creator:Ellis, Kathryn A ; Bush, Ashley I ; Darby, David ; De Fazio, Daniela ; Foster, Jonathan ; Hudson, Peter ; Lautenschlager, Nicola T. ; Lenzo, Nat ; Martins, Ralph N. ; Maruff, Paul ; Masters, Colin ; Milner, Andrew ; Pike, Kerryn ; Rowe, Christopher ; Savage, Greg ; Szoeke, Cassandra ; Taddei, Kevin ; Villemagne, Victor ; Woodward, Michael ; Ames, David
Publisher:Cambridge, UK: Cambridge University Press
Journal title:International psychogeriatrics, 2009-08, Vol.21 (4), p.672-687
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Exploring the association between cancer and cognitive impairment in the Australian Imaging Biomarkers and Lifestyle (AIBL) study
Author / Creator:Ma, Liwei ; Low, Yi Ling Clare ; Zhuo, Yuanhao ; Chu, Chenyin ; Wang, Yihan ; Fowler, Christopher J. ; Tan, Edwin C. K. ; Masters, Colin L. ; Jin, Liang ; Pan, Yijun
Publisher:London: Nature Publishing Group UK
Journal title:Scientific reports, 2024-02, Vol.14 (1), p.4364-4364, Article 4364
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Exploring the link between comorbidities and Alzheimer's dementia in the Australian Imaging, Biomarker & Lifestyle (AIBL) study
Author / Creator:Nguyen, Catherine Quynh Nhu ; Ma, Liwei ; Low, Yi Ling Clare ; Tan, Edwin C. K. ; Fowler, Christopher ; Masters, Colin L. ; Jin, Liang ; Pan, Yijun
Publisher:United States: John Wiley and Sons Inc
Journal title:Alzheimer's & dementia : diagnosis, assessment & disease monitoring, 2024-04, Vol.16 (2), p.e12593-n/a
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Developing a machine learning stack model to forecast the progression of mild cognitive impairment to Alzheimer’s dementia, using the Australian Imaging, Biomarker & Lifestyle (AIBL) Study dataset
Author / Creator:Chu, Chenyin ; Wang, Yihan ; Maruff, Paul ; Masters, Colin L. ; Goudey, Benjamin ; Jin, Liang ; Pan, Yijun
Publisher:Hoboken: John Wiley and Sons Inc
Journal title:Alzheimer's & dementia, 2024-12, Vol.20 (S3), p.n/a
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Effects of Anticholinergic Drugs on Cognitive Function in Older Australians: Results from the AIBL Study
Author / Creator:Sittironnarit, Gobhathai ; Ames, David ; Bush, Ashley I. ; Faux, Noel ; Flicker, Leon ; Foster, Jonathan ; Hilmer, Sarah ; Lautenschlager, Nicola T. ; Maruff, Paul ; Masters, Colin L. ; Martins, Ralph N. ; Rowe, Christopher ; Szoeke, Cassandra ; Ellis, Kathryn A.
Publisher:Basel, Switzerland: Karger
Journal title:Dementia and geriatric cognitive disorders, 2011-01, Vol.31 (3), p.173-178
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Developing a machine learning stack model to forecast the progression of mild cognitive impairment to Alzheimer’s dementia, using the Australian Imaging, Biomarker & Lifestyle (AIBL) Study dataset
Author / Creator:Chu, Chenyin ; Wang, Yihan ; Maruff, Paul ; Masters, Colin L. ; Goudey, Benjamin ; Jin, Liang ; Pan, Yijun
Publisher:Hoboken: John Wiley and Sons Inc
Journal title:Alzheimer's & dementia, 2024-12, Vol.20 (S10), p.n/a
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Enhancing Carbon Acid pKa Prediction by Augmentation of Sparse Experimental Datasets with Accurate AIBL (QM) Derived Values
Author / Creator:Plante, Jeffrey ; Caine, Beth A. ; Popelier, Paul L. A.
Publisher:Basel: MDPI AG
Journal title:Molecules (Basel, Switzerland), 2021-02, Vol.26 (4), p.1048
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Rates of diagnostic transition and cognitive change at 18-month follow-up among 1,112 participants in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing (AIBL)
Author / Creator:Ellis, Kathryn A. ; Szoeke, Cassandra ; Bush, Ashley I. ; Darby, David ; Graham, Petra L. ; Lautenschlager, Nicola T. ; Macaulay, S. Lance ; Martins, Ralph N. ; Maruff, Paul ; Masters, Colin L. ; McBride, Simon J. ; Pike, Kerryn E. ; Rainey-Smith, Stephanie R. ; Rembach, Alan ; Robertson, Joanne ; Rowe, Christopher C. ; Savage, Greg ; Villemagne, Victor L. ; Woodward, Michael ; Wilson, William ; Zhang, Ping ; Ames, David
Publisher:Cambridge, UK: Cambridge University Press
Journal title:International psychogeriatrics, 2014-04, Vol.26 (4), p.543-554
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Evaluation of GammaH2AX in Buccal Cells as a Molecular Biomarker of DNA Damage in Alzheimer’s Disease in the AIBL Study of Ageing
Author / Creator:Siddiqui, Mohammad ; Francois, Maxime ; Rainey-Smith, Stephanie ; Martins, Ralph ; Masters, Colin ; Ames, David ; Rowe, Christopher ; Macaulay, Lance ; Fenech, Michael ; Leifert, Wayne
Publisher:Switzerland: MDPI AG
Journal title:Life (Basel, Switzerland), 2020-08, Vol.10 (8), p.141
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Predictors of rapid cognitive decline in Alzheimer's disease: results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of ageing
Author / Creator:Sona, Alessandro ; Zhang, Ping ; Ames, David ; Bush, Ashley I. ; Lautenschlager, Nicola T. ; Martins, Ralph N. ; Masters, Colin L. ; Rowe, Christopher C. ; Szoeke, Cassandra ; Taddei, Kevin ; Ellis, Kathryn A.
Publisher:Cambridge, UK: Cambridge University Press
Journal title:International psychogeriatrics, 2012-02, Vol.24 (2), p.197-204
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Recommendations for antiresorptive therapy in postmenopausal patients with breast cancer: Marburg AIBL Guideline Evaluation Study (MAGES)
Author / Creator:Hadji, Peyman ; Hartenfels, Melanie ; Kyvernitakis, Jannis ; Hars, Olaf ; Baumann, Klaus Heinrich ; Kalder, Matthias
Publisher:Boston: Springer US
Journal title:Breast cancer research and treatment, 2012-06, Vol.133 (3), p.1089-1096
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Impact of Mild Head Injury on Neuropsychological Performance in Healthy Older Adults: Longitudinal Assessment in the AIBL Cohort
Author / Creator:Albrecht, Matthew A. ; Masters, Colin L. ; Ames, David ; Foster, Jonathan K.
Publisher:Switzerland: Frontiers Research Foundation
Journal title:Frontiers in aging neuroscience, 2016-05, Vol.8, p.105-105
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Comparing the Performance of the HADS and the GDS-15 in the AIBL Study
Author / Creator:Campbell, Guy ; Bryant, Christina ; Ellis, Kathryn A. ; Buckley, Rachel ; Ames, David
Publisher:Cambridge, UK: Cambridge University Press
Journal title:International psychogeriatrics, 2015-09, Vol.27 (9), p.1577-1578
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Showing 1 to 20 of 466 results

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A blood-based predictor for neocortical Aβ burden in Alzheimer’s disease: results from the AIBL study

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β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3

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Using imputation to provide harmonized longitudinal measures of cognition across AIBL and ADNI

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Multi-Kernel Learning with Dartel Improves Combined MRI-PET Classification of Alzheimer’s Disease in AIBL Data: Group and Individual Analyses

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Factors affecting subjective memory complaints in the AIBL aging study: biomarkers, memory, affect, and age

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Bayesian changepoint models for amyloid‐centric synchronisation of biomarker trajectories in AIBL

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Using machine learning to quantify structural MRI neurodegeneration patterns of Alzheimer's disease into dementia score: Independent validation on 8,834 images from ADNI, AIBL, OASIS, and MIRIAD datab...

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The Australian Imaging, Biomarkers and Lifestyle (AIBL) study of aging: methodology and baseline characteristics of 1112 individuals recruited for a longitudinal study of Alzheimer's disease

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Exploring the association between cancer and cognitive impairment in the Australian Imaging Biomarkers and Lifestyle (AIBL) study

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Exploring the link between comorbidities and Alzheimer's dementia in the Australian Imaging, Biomarker & Lifestyle (AIBL) study

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Developing a machine learning stack model to forecast the progression of mild cognitive impairment to Alzheimer’s dementia, using the Australian Imaging, Biomarker & Lifestyle (AIBL) Study dataset

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Effects of Anticholinergic Drugs on Cognitive Function in Older Australians: Results from the AIBL Study

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Developing a machine learning stack model to forecast the progression of mild cognitive impairment to Alzheimer’s dementia, using the Australian Imaging, Biomarker & Lifestyle (AIBL) Study dataset

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Enhancing Carbon Acid pKa Prediction by Augmentation of Sparse Experimental Datasets with Accurate AIBL (QM) Derived Values

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Rates of diagnostic transition and cognitive change at 18-month follow-up among 1,112 participants in the Australian Imaging, Biomarkers and Lifestyle Flagship Study of Ageing (AIBL)

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Evaluation of GammaH2AX in Buccal Cells as a Molecular Biomarker of DNA Damage in Alzheimer’s Disease in the AIBL Study of Ageing

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Predictors of rapid cognitive decline in Alzheimer's disease: results from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study of ageing

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Recommendations for antiresorptive therapy in postmenopausal patients with breast cancer: Marburg AIBL Guideline Evaluation Study (MAGES)

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Impact of Mild Head Injury on Neuropsychological Performance in Healthy Older Adults: Longitudinal Assessment in the AIBL Cohort

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Comparing the Performance of the HADS and the GDS-15 in the AIBL Study

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