Geriatrics

Alzheimer's Disease

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

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Geriatrics Subcategories: Alzheimer's Disease Medicare
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A randomized clinical trial reveals effects of mindfulness and slow breathing on plasma amyloid beta levels

Prior research suggests that meditation may slow brain aging and reduce the risk of Alzheimer’s dise...

Predicting Future Brain Atrophy Based on Longitudinal MRI

Neuron loss is a key feature of neurodegenerative diseases often leading to brain atrophy detectable...

A Self-Explainable Dynamic Risk Monitoring Framework for Predicting Alzheimer’s Disease and Related Dementias

Alzheimer’s Disease and Related Dementias (ADRD) affect millions worldwide and can begin over a deca...

Cerebrospinal fluid proteomics for predictive assessment of Alzheimer’s Disease risk

Alzheimer’s disease (AD) involves early molecular changes beyond amyloid-β (Aβ) and tau, that create...

Deep learning aging marker from retinal images unveils sex-specific clinical and genetic signatures

Retinal fundus images offer a non-invasive window into systemic aging. Here, we fine-tuned a foundat...

ALTARN: A Tabular Residual Neural Network for Alzheimer’s Disease Classification and Prediction

Early and accurate prediction of Alzheimer’s disease (AD) from accessible clinical data remains a si...

Speech Acoustic Markers Detect APOE-ε4 Carrier Status in Cognitively Healthy Individuals

APOE-ε4, the strongest genetic risk factor for Alzheimer’s disease (AD), is linked to early motor vu...

Neuro: Machine Learning Optimized to Detect Neurodegenerative Diseases Pilot Study

Alzheimer’s Disease (AD) is a progressive neurodegenerative disorder that primarily affects cognitiv...

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

Predicting the likelihood of developing Alzheimer’s disease (AD) dementia in at-risk individuals is ...

Alzheimer’s Disease Stage Classification via Multimodal CNN on EEG Spectrograms and Cube-Drawing Images

Clinicians currently lack reliable tools to determine, at the point of mild cognitive impairment (MC...

A new ANMerge-based blood transcriptomic resource to support Alzheimer’s disease research

Alzheimer’s disease (AD) has greater prevalence in women and lacks effective treatments. Integrating...

Quantitative pathology and APOE genotype reveal dementia risk and progression in Lewy body disease

Dementia in Lewy body diseases (LBD) is common and arises through heterogeneous and incompletely und...

Predicting Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using a Vision Transformer and Hippocampal MRI Slices

Convolutional neural networks (CNNs) have been the standard for computer vision tasks including appl...

A unified deep learning framework for cross-platform harmonization of multi-tracer PET quantification

Quantitative PET underpins diagnosis and treatment monitoring in neurodegenerative disease, yet syst...

Automating Evaluation of LLM-generated Responses to Patient Questions about Rare Diseases

Patients with rare diseases often struggle to find accurate medical information, and large language ...

Agentic Generative Artificial Intelligence System for Classification of Pathology-Confirmed Primary Progressive Aphasia Variants

Accurate clinical and pathological diagnoses are essential in neurodegenerative diseases, especially...

Predicting Amyloid Positivity Through Proteomic and Machine Learning Approaches

Alzheimer’s disease is a progressive neurodegenerative disorder where early detection remains diffic...

Regional brain aging patterns reveal disease-specific pathways of neurodegeneration

The heterogeneity of brain aging is a hallmark of neurological and psychiatric disorders, yet machin...

Characterizing Dementia Phenotypes from Unstructured EHR Notes with Generative AI and Interpretable Machine Learning

Dementia encompasses diverse clinical syndromes where diseases of the brain can manifest as impaired...

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