Article

What Do Machines Tell us About Dementia? Machine Learning Applied to Aging, Dementia and Traumatic Brain Injury Study

2021-09-02

Abstract excerpt

<title>Abstract</title> <p>Dementia, a syndrome characterized by the progressive deterioration of memory and cognition, arises from different pathologies, with Alzheimer's Disease (AD) its most common cause. Patterns of gene expression during dementia of different etiologies may function as generalist biomarkers of the condition. We used RNA-Seq data from the Allen Dementia and Traumatic Brain Injury Study (ADTBI...

Topics

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

Identifiers and source

Literature Corpus work: 02efe7d2-6e93-5794-b319-bd81d9bcc9ea
DOI: 10.21203/rs.3.rs-840907/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

What Do Machines Tell us About Dementia? Machine Learning Applied to Aging, Dementia and Traumatic Brain Injury StudyDOI 10.21203/rs.3.rs-840907/v1Read

Transcriptomics-Guided Multi-Cohort Machine Learning for Alzheimer’s Disease DiagnosisSemantic proximity Read

AITeQ: A machine learning framework for Alzheimer’s prediction using a distinctive 5-gene signatureSemantic proximity Read

Deep learning-based brain transcriptomic signatures associated with the neuropathological and clinical severity of Alzheimer’s diseaseSemantic proximity Read

Artificial intelligence for diagnosis and prognosis in neuroimaging for dementia; a systematic reviewSemantic proximity Read

Integrative Transcriptomics and Machine Learning Reveal a Robust Biomarker Signature for Alzheimer’s DiseaseSemantic proximity Read

Machine learning screening for molecular subtyping of Alzheimer's disease based on pyroptosis-related genesSemantic proximity Read

Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer’s disease: implications for microglia activation and sex differencesSemantic proximity Read

Deep learning-based brain transcriptomic signatures associated with the neuropathological and clinical severity of Alzheimer’s diseaseSemantic proximity Read

Unique Transcriptional Signatures Correlate with Behavioral and Psychological Symptom Domains in Alzheimer’s DiseaseSemantic proximity Read

Alzheimer stage diagnosis from genomic and clinical data modalities using ‘Deep Learning’Semantic proximity Read

Investigating Gene Expression Patterns in Dementia Patients: A Potential Early Biomarker for Alzheimer’s DiseaseSemantic proximity Read

Capitalizing on Intelligent Pathology Algorithms in Dementia CareSemantic proximity Read