Article

Standardized Comparison of Clinical, Cognitive, Genetic, Neuroimaging, and Fluid Biomarkers for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer’s Disease

2026-08-05

Abstract excerpt

Identifying individuals with mild cognitive impairment (MCI) likely to progress to Alzheimer’s disease (AD) is important for patient management and clinical trial enrollment. Although cognitive assessments, genetics, neuroimaging, and fluid biomarkers are each associated with disease progression, their predictive value has not been systematically compared using an identical cohort and evaluation framework. This st...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 12ca9848-aa8b-524e-aaa5-4a9bb71fdf0d
DOI: 10.64898/2026.08.03.26359630

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Standardized Comparison of Clinical, Cognitive, Genetic, Neuroimaging, and Fluid Biomarkers for Predicting 24-Month Progression from Mild Cognitive Impairment to Alzheimer’s DiseaseDOI 10.64898/2026.08.03.26359630Read

Predicting 24-Month MCI-to-Alzheimer’s Conversion Using Routine Clinical Assessments Without Neuroimaging or Genetic TestingSemantic proximity Read

Comprehensive evaluation of AT(N) imaging biomarkers for predicting cognitionSemantic proximity Read

A Novel Ensemble-Based Machine Learning Algorithm To Predict The Conversion From Mild Cognitive Impairment To Alzheimer’s Disease Using Socio-demographic Characteristics, Clinical Information And Neuropsychological MeasuresSemantic proximity Read

Using Multi-Scale Genetic, Neuroimaging and Clinical Data for Predicting Alzheimer's Disease and Reconstruction of Relevant Biological Mechanisms.Semantic proximity Read

Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and AustraliaSemantic proximity Read

Multimodal Integration of Alzheimer's Plasma Biomarkers, MRI, and Genetic Risk for Individual Prediction of Cerebral Amyloid BurdenSemantic proximity Read

Risk Score Stratification of Alzheimer’s Disease and Mild Cognitive Impairment using Deep LearningSemantic proximity Read

Prediction of future Alzheimer’s disease dementia using plasma phospho-tau combined with other accessible measuresSemantic proximity Read

Genetic, structural and functional imaging biomarkers for early detection of conversion from MCI to AD.Semantic proximity Read

Predicting future cognitive impairment in preclinical Alzheimer’s disease using multimodal imaging: a multisite machine learning studySemantic proximity Read

Plasma biomarker levels and cognitive decline in a heterogenous community-based cohort with multiple comorbiditiesSemantic proximity Read

An Integrative Multimodal Model for Early Diagnosis of Dementia and Differential Diagnosis of Alzheimer’s Disease Using Neuroimaging, Polygenic Risk, and Cognitive AssessmentsSemantic proximity Read