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Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge

Alzheimer's & dementia, 2016-09, Vol.12 (9), p.1014-1021

2016

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Big data to smart data in Alzheimer's disease: Real-world examples of advanced modeling and simulation

Alzheimer's & dementia, 2016-09, Vol.12 (9), p.1022-1030

2016

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P1‐324: Predicting Change in Hippocampal Volume Using MRI Features from Baseline

Alzheimer's & dementia, 2016-07, Vol.12 (7S_Part_11), p.P550-P551

2016

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P2‐134: Clinical characteristics of subjects with conflicting biomarkers of amyloid deposition

Alzheimer's & dementia, 2015-07, Vol.11 (7S_Part_11), p.P535-P536

2015

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UTILITY OF THE ATN DEFINITION OF BIOMARKER STATUS IN THE ALZHEIMER’S DISEASE NEUROIMAGING INITIATIVE

Alzheimer's & dementia, 2017-07, Vol.13 (7), p.P1312-P1313

2017

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PREDICTING CHANGE IN HIPPOCAMPAL VOLUME USING MRI FEATURES FROM BASELINE

Alzheimer's & dementia, 2016-07, Vol.12 (7), p.P550-P551

2016

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WHAT DETERMINES COGNITIVE FUNCTIONING IN THE OLDEST-OLD? THE EMIF-AD 90+ STUDY

Alzheimer's & dementia, 2019-07, Vol.15 (7), p.P726-P727

2019

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P2‐345: WHAT DETERMINES COGNITIVE FUNCTIONING IN THE OLDEST‐OLD? THE EMIF‐AD 90+ STUDY

Alzheimer's & dementia, 2019-07, Vol.15 (7S_Part_14), p.P726-P727

2019

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Development of a patient-reported outcome instrument to assess complex activities of daily living and interpersonal functioning in persons with mild cognitive impairment: The qualitative research phase

Alzheimer's & dementia, 2016-01, Vol.12 (1), p.75-84

2016

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P4‐090: Multivariate prediction of change in hippocampal volume in Alzheimer's disease

Alzheimer's & dementia, 2015-07, Vol.11 (7S_Part_17), p.P807-P808

2015

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Clinical characteristics of subjects with conflicting biomarkers of amyloid deposition

Alzheimer's & dementia, 2015-07, Vol.11 (7), p.P535-P536

2015

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From big data to smart data in Alzheimer's disease. The brain health modeling initiative to foster actionable knowledge

Alzheimer's & dementia, 2016

2016

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P1‐181: Operationalizing the iwg2 and nia‐aa diagnostic criteria for asymptomatic‐at‐risk for Alzheimer's disease or preclinical Alzheimer's disease

Alzheimer's & dementia, 2015-07, Vol.11 (7S_Part_9), p.P414-P415

2015

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O1‐03‐06: Creating normative values for cognitive tests in amyloid positive and amyloid negative cognitively normal subjects

Alzheimer's & dementia, 2015-07, Vol.11 (7S_Part_3), p.P131-P132

2015

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P2‐165: Resilience to Clinical Dementia at Old Age: The European Medical Information Framework (EMIF) 90+ Study

Alzheimer's & dementia, 2016-07, Vol.12 (7S_Part_14), p.P678-P678

2016

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LEVELS OF BLOOD PRESSURE, BODY MASS INDEX AND TOTAL SERUM CHOLESTEROL AT DIFFERENT TIME POINTS PRIOR TO DEMENTIA DIAGNOSIS: A CASE CONTROL STUDY OF OVER 28 MILLION ELECTRONIC HEALTH RECORDS FROM THE EMIF EHR DATA RESOURCE

Alzheimer's & dementia, 2017-07, Vol.13 (7), p.P1420-P1421

2017

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P3‐031: THE CRITICAL PATH FOR ALZHEIMER'S DISEASE: HIPPOCAMPAL VOLUME AS AN ENRICHMENT BIOMARKER IN TRIALS OF PATIENTS WITH MILD COGNITIVE IMPAIRMENT

Alzheimer's & dementia, 2018-07, Vol.14 (7S_Part_20), p.P1076-P1076

2018

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THE CRITICAL PATH FOR ALZHEIMER’S DISEASE: HIPPOCAMPAL VOLUME AS AN ENRICHMENT BIOMARKER IN TRIALS OF PATIENTS WITH MILD COGNITIVE IMPAIRMENT

Alzheimer's & dementia, 2018-07, Vol.14 (7), p.P1076-P1076

2018

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Operationalizing the iwg2 and nia-aa diagnostic criteria for asymptomatic-at-risk for Alzheimer's disease or preclinical Alzheimer's disease

Alzheimer's & dementia, 2015-07, Vol.11 (7), p.P414-P415

2015

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Big data to smart data in Alzheimer's disease: The brain health modeling initiative to foster actionable knowledge

Big data to smart data in Alzheimer's disease: Real-world examples of advanced modeling and simulation

F1‐02‐03: MRI PREDICTORS OF AMYLOID PATHOLOGY: RESULTS FROM THE EMIF‐AD BIOMARKER DISCOVERY STUDY

P1‐324: Predicting Change in Hippocampal Volume Using MRI Features from Baseline

P2‐134: Clinical characteristics of subjects with conflicting biomarkers of amyloid deposition

UTILITY OF THE ATN DEFINITION OF BIOMARKER STATUS IN THE ALZHEIMER’S DISEASE NEUROIMAGING INITIATIVE

PREDICTING CHANGE IN HIPPOCAMPAL VOLUME USING MRI FEATURES FROM BASELINE

WHAT DETERMINES COGNITIVE FUNCTIONING IN THE OLDEST-OLD? THE EMIF-AD 90+ STUDY

P2‐345: WHAT DETERMINES COGNITIVE FUNCTIONING IN THE OLDEST‐OLD? THE EMIF‐AD 90+ STUDY

Development of a patient-reported outcome instrument to assess complex activities of daily living and interpersonal functioning in persons with mild cognitive impairment: The qualitative research phase

P4‐090: Multivariate prediction of change in hippocampal volume in Alzheimer's disease

Clinical characteristics of subjects with conflicting biomarkers of amyloid deposition

From big data to smart data in Alzheimer's disease. The brain health modeling initiative to foster actionable knowledge

P1‐181: Operationalizing the iwg2 and nia‐aa diagnostic criteria for asymptomatic‐at‐risk for Alzheimer's disease or preclinical Alzheimer's disease

O1‐03‐06: Creating normative values for cognitive tests in amyloid positive and amyloid negative cognitively normal subjects

P2‐165: Resilience to Clinical Dementia at Old Age: The European Medical Information Framework (EMIF) 90+ Study

LEVELS OF BLOOD PRESSURE, BODY MASS INDEX AND TOTAL SERUM CHOLESTEROL AT DIFFERENT TIME POINTS PRIOR TO DEMENTIA DIAGNOSIS: A CASE CONTROL STUDY OF OVER 28 MILLION ELECTRONIC HEALTH RECORDS FROM THE EMIF EHR DATA RESOURCE

P3‐031: THE CRITICAL PATH FOR ALZHEIMER'S DISEASE: HIPPOCAMPAL VOLUME AS AN ENRICHMENT BIOMARKER IN TRIALS OF PATIENTS WITH MILD COGNITIVE IMPAIRMENT

THE CRITICAL PATH FOR ALZHEIMER’S DISEASE: HIPPOCAMPAL VOLUME AS AN ENRICHMENT BIOMARKER IN TRIALS OF PATIENTS WITH MILD COGNITIVE IMPAIRMENT

P2‐458: PREDICTING COGNITIVE DECLINE THROUGH STRUCTURAL MRI BIOMARKERS: RESULTS FROM THE EMIF‐AD BIOMARKER DISCOVERY STUDY

PREDICTING COGNITIVE DECLINE THROUGH STRUCTURAL MRI BIOMARKERS: RESULTS FROM THE EMIF-AD BIOMARKER DISCOVERY STUDY

P2‐458: PREDICTING COGNITIVE DECLINE THROUGH STRUCTURAL MRI BIOMARKERS: RESULTS FROM THE EMIF‐AD BIOMARKER DISCOVERY STUDY

MRI PREDICTORS OF AMYLOID PATHOLOGY: RESULTS FROM THE EMIF-AD BIOMARKER DISCOVERY STUDY

F1‐02‐03: MRI PREDICTORS OF AMYLOID PATHOLOGY: RESULTS FROM THE EMIF‐AD BIOMARKER DISCOVERY STUDY

Operationalizing the iwg2 and nia-aa diagnostic criteria for asymptomatic-at-risk for Alzheimer's disease or preclinical Alzheimer's disease

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