Geriatrics

Alzheimer's Disease

Latest AI and machine learning research in alzheimer's disease for healthcare professionals.

12,142 articles
Stay Ahead - Weekly Alzheimer's Disease research updates
Subscribe
Browse Categories
Geriatrics Subcategories: Alzheimer's Disease Medicare
Showing 2752-2772 of 12,142 articles
An Open-Source Deep Learning-Based Toolbox for Automated Auditory Brainstem Response Analyses (ABRA)

Hearing loss is a pervasive global health challenge with profound impacts on communication, cognitiv...

AmyloDeep: pLM-based ensemble model for predicting amyloid propensity from the amino acid sequence

Amyloids are predominantly β-sheet-rich, stable protein structures that can maintain their presence ...

Disease-specific tau polymorphs define unique protein interaction networks across proteinopathies

Tau protein aggregates exhibit distinct conformations across tauopathies, but their disease-specific...

Claustrum volume in humans – lifespan trajectory and effect of age, hemisphere, and sex

The human claustrum is a bilateral, thin, irregularly shaped gray matter structure located between t...

Frequency-Aware Interpretable Deep Learning Framework for Alzheimer’s Disease Classification Using rs-fMRI

Gaining insight into the spectral and temporal alterations in brain connectivity associated with Alz...

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data

Alzheimer’s disease and related dementias (ADRD) involve overlapping neurodegenerative and vascular ...

Hippocampal grey matter changes across scales in Alzheimer’s Disease

Alzheimer’s disease (AD) is a progressive and debilitating neurodegenerative disease of the central ...

MAP-PRS: Multi-Ancestry Portfolio-Based Polygenic Risk Scores

Polygenic Risk Scores (PRS) are emerging tools for predicting an individual’s genetic risk for compl...

Integrative Chemical Genetics Platform Identifies Condensate Modulators Linked to Neurological Disorders

Aberrant biomolecular condensates are implicated in multiple incurable neurological disorders, inclu...

Cross-species connectome comparisons reveal the network attributes of memory capacity and time series prediction

The brain’s connectome provides a powerful blueprint for designing efficient neural networks, yet th...

A Systematic Fairness Evaluation of Racial Bias in Alzheimer’s Disease Diagnosis Using Machine Learning Models

Alzheimer’s disease (AD) is a major global health concern, expected to affect 12.7 million Americans...

Cooperative multi-view integration with Scalable and Interpretable Model Explainer

Single-omics approaches often provide a limited perspective on complex biological systems, whereas m...

Uncertainty-Aware Tau Detection in Progressive Supranuclear Palsy Using Object Detection Models

Abnormal tau accumulation is a hallmark of neurodegenerative tauopathies such as Progressive Supranu...

HypoAD: volumetric and single-cell analysis reveals changes in the human hypothalamus in aging and Alzheimer’s disease

Alterations in metabolism, stress response, sleep, circadian rhythms, and neuroendocrine processes a...

MRI-based classifier to identify close-to-onset cases in C9orf72 genetic frontotemporal dementia

Predicting symptom onset in genetic frontotemporal dementia (FTD) is crucial for advancing targeted ...

Neural Underpinnings of Olfactory Dysfunction across Parkinson’s and Alzheimer’s Spectra

Olfactory dysfunction is a frequent yet understudied feature of neurodegenerative spectrum disorders...

REM sleep predicts reductions in pathophysiological daytime basal ganglia-cortical circuit activity in Parkinson’s disease

Sleep disturbances have been shown to be intimately and bidirectionally related to disease progressi...

Mimyr: Generative modeling of missing tissue in spatial transcriptomics

Spatial transcriptomics enables the study of how gene expression is organized across tissues, reveal...

Uncovering the dark transcriptome in polarized neuronal compartments with mcDETECT

Spatial transcriptomics (ST) is a powerful tool for studying the molecular basis of brain diseases. ...

Bridging Language Markers and Pathology: Correlations Between Digital Speech Measures and Surrogate CSF Biomarkers in Alzheimer’s Disease

Digital language markers show promise in detecting early cognitive impairment related to Alzheimer’s...

Browse Categories