Machine learning for comprehensive forecasting of Alzheimer’s Disease progression

Understanding Placebo Responses in Alzheimer's Disease Clinical Trials from the Literature Meta-Data and CAMD Database

(2018) Kaori Ito et al.   JOURNAL OF ALZHEIMERS DISEASE

Emergence of Compositional Representations in Restricted Boltzmann Machines

(2017) J. Tubiana et al.   PHYSICAL REVIEW LETTERS

Machine Learning Improves Risk Stratification After Acute Coronary Syndrome

(2017) Paul D. Myers et al.   Scientific Reports

Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer’s Disease

(2016) Andrés Ortiz et al.   International Journal of Neural Systems

Post Hoc Analyses of ApoE Genotype-Defined Subgroups in Clinical Trials

(2016) Richard E. Kennedy et al.   JOURNAL OF ALZHEIMERS DISEASE

Current applications and future directions for the CDISC Operational Data Model standard: A methodological review

(2016) Sam Hume et al.   JOURNAL OF BIOMEDICAL INFORMATICS

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review

(2016) Benjamin A Goldstein et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

Drug development in Alzheimer’s disease: the path to 2025

(2016) Jeffrey Cummings et al.   Alzheimers Research & Therapy

Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records

(2016) Riccardo Miotto et al.   Scientific Reports

Development of a unified clinical trial database for Alzheimer's disease

(2015) Jon Neville et al.   Alzheimers & Dementia

A New Initiative on Precision Medicine

(2015) Francis S. Collins et al.   NEW ENGLAND JOURNAL OF MEDICINE

A review on Alzheimer's disease pathophysiology and its management: an update

(2015) Anil Kumar et al.   Pharmacological Reports

The future is now: Model-based clinical trial design for Alzheimer's disease

(2015) K Romero et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Hierarchical feature representation and multimodal fusion with deep learning for AD/MCI diagnosis

(2014) Heung-Il Suk et al.   NEUROIMAGE

Three-Class Differential Diagnosis among Alzheimer Disease, Frontotemporal Dementia, and Controls

(2014) Pradeep Reddy Raamana et al.   Frontiers in Neurology

Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data

(2013) Thomas A. Lasko et al.   PLoS One

Combining patient-level and summary-level data for Alzheimer’s disease modeling and simulation: a beta regression meta-analysis

(2012) James A. Rogers et al.   JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS

The Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception

(2011) Michael W. Weiner et al.   Alzheimers & Dementia

Adding Delayed Recall to the Alzheimer Disease Assessment Scale is Useful in Studies of Mild Cognitive Impairment But Not Alzheimer Disease

(2010) Mary Sano et al.   ALZHEIMER DISEASE & ASSOCIATED DISORDERS

Disease progression model for cognitive deterioration from Alzheimer's Disease Neuroimaging Initiative database

(2010) Kaori Ito et al.   Alzheimers & Dementia

Predictive markers for AD in a multi-modality framework: An analysis of MCI progression in the ADNI population

(2010) Chris Hinrichs et al.   NEUROIMAGE

The Coalition Against Major Diseases: Developing Tools for an Integrated Drug Development Process for Alzheimer’s and Parkinson’s Diseases

(2009) K Romero et al.   CLINICAL PHARMACOLOGY & THERAPEUTICS

Baseline MRI Predictors of Conversion from MCI to Probable AD in the ADNI Cohort

(2009) Shannon Risacher et al.   Current Alzheimer Research

How Well Do the ADAS-cog and its Subscales Measure Cognitive Dysfunction in Alzheimer’s Disease?

(2009) Jared F. Benge et al.   DEMENTIA AND GERIATRIC COGNITIVE DISORDERS