Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer’s disease

31 Mar 2021

Abstract excerpt

We evaluated the utility of leucocyte epigenomic-biomarkers for Alzheimer's Disease (AD) detection and elucidates its molecular pathogeneses. Genome-wide DNA methylation analysis was performed using the Infinium MethylationEPIC BeadChip array in 24 late-onset AD (LOAD) and 24 cognitively healthy subjects. Data were analyzed using six Artificial Intelligence (AI) methodologies including Deep Learning (DL) followed...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Alzheimer's disease research and treatments
Share to Dementia and Cognitive Impairment Research

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 33788842
DOI: 10.1371/journal.pone.0248375

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 8 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Artificial intelligence and leukocyte epigenomics: Evaluation and prediction of late-onset Alzheimer’s diseasePMID 33788842Read ↗

Using blood transcriptome analysis for Alzheimer's disease diagnosis and patient stratificationSemantic proximity Read ↗

Whole genome methylation sequencing in blood identifies extensive differential DNA methylation in late‐onset dementia due to Alzheimer's diseaseSemantic proximity Read ↗

Prediction of Alzheimer’s Disease Using Patterns of Methylation Levels in Key Immunologic-Related GenesSemantic proximity Read ↗

An Indicator Cell Assay-based Multivariate Blood Test for Early Detection of Alzheimer’s DiseaseSemantic proximity Read ↗

Distinctive RNA Expression Profiles in Blood Associated With Alzheimer Disease After Accounting for White Matter HyperintensitiesSemantic proximity Read ↗

Blood‐based multivariate methylation risk score for cognitive impairment and dementiaSemantic proximity Read ↗

Cross-tissue meta-analysis of blood and brain epigenome-wide association studies in Alzheimer’s diseaseSemantic proximity Read ↗

Identification of molecular alterations in leukocytes from gene expression profiles of peripheral whole blood of Alzheimer’s diseaseSemantic proximity Read ↗

Sex and insulin resistance biomarker modelling in a new large-scale Alzheimer’s disease transcriptomic resourceSemantic proximity Read ↗

Cellular transcriptional alterations of peripheral blood in Alzheimer’s diseaseSemantic proximity Read ↗

Whole genome methylation sequencing in blood from persons with mild cognitive impairment and dementia due to Alzheimer’s disease identifies cognitive statusSemantic proximity Read ↗

Whole genome methylation sequencing in blood from persons with mild cognitive impairment and dementia due to Alzheimer's disease identifies cognitive statusSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.