Alzheimer's Disease

Development and Validation of a Machine Learning Model for Dementia Staging in a Heterogeneous Cognitive Impairment Cohort Using Multimodal Features.

RATIONALE AND OBJECTIVES: With the emergence of disease-modifying therapies, precise staging of dementia is urgent. This study aimed to develop a machine learning model integrating multimodal data to achieve objective staging of dementia severity in patients with cognitive impairment. MATERIALS AND METHODS: A total of 149 patients (100 with Alzheimer's disease) were recruited. Demographic data, ne...

Rationalizing nose-to-brain drug delivery: Machine learning-guided optimization and mechanistic elucidation of olfactory deposition for nasal sprays.

Nose-to-brain drug delivery via nasal sprays is severely limited by low olfactory deposition. In this study, we integrate machine learning with high-throughput experimentation to systematically optimize olfactory deposition of solid lipid nanoparticle-loaded nasal sprays (SLN-NS). By engineering the dispersed medium properties using five excipients at varying concentrations across 40 formulations,...

Musicality in protein interaction dynamics informs the multi-scale evolution of prosocial behaviour.

Like animal vocalization and display, human singing and dancing allows non-verbal establishment of behavioural co-relation (i.e. correlation) between ...

Towards the development of a management protocol for subjective cognitive decline: Insights from a cross-sectional and longitudinal analysis of multimodal data from a memory clinic.

BackgroundSubjective cognitive decline (SCD) represents the first early symptomatic stage of Alzheimer's disease (AD).ObjectiveWe aimed to investigate...

How reproducible are data-driven subtypes of Alzheimer's disease atrophy?

BackgroundAlzheimer's disease (AD) exhibits substantial clinical and biological heterogeneity, complicating efforts in treatment and intervention deve...

Neuroimmune Cross-Talk and Multilevel Cascades in Fentanyl Toxicity: Interplay of Hypoxic Stress, Glial Activation, and Synaptic Dysregulation in Systems-Level Neurodegeneration.

Fentanyl, an ultra-potent synthetic opioid, has traditionally been characterized by its acute toxic effects, particularly respiratory depression. Howe...

Ethical Knowledge, Challenges, and Institutional Strategies Among Medical AI Developers and Researchers: Focus Group Study.

BACKGROUND: As artificial intelligence (AI) becomes increasingly embedded in clinical decision-making and preventive care, it is urgent to address eth...

Correlation between oral disease and neurodegenerative disorders: Role of biological proteins for the modulation of oral-brain axis and gut-brain axis.

Biological proteins play a crucial role at the intersection of oral health and neuroscience, offering promising opportunities for improved diagnosis, ...

Dementia severity index: A threshold-based approach to classifying dementia levels using resting state EEG.

BACKGROUND: Alzheimer's Disease (AD) and FrontoTemporal Dementia (FTD) are dementia conditions that often overlap clinically, leading to misdiagnoses....

Converse or reverse? Machine-learning modeling for disease progression: A study based on Alzheimer's disease continuum cohort.

INTRODUCTION: Longitudinal trajectories from healthy aging to Mild Cognitive Impairment and Alzheimer's Disease involve complex mechanisms. METHODS: W...

Generating synthetic MRI scans for improving Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder and the leading cause of dementia. Magnetic Resonance Imaging (MRI) combined with...

Machine learning-based LASSO-Cox model for dementia prediction: the role of midlife cardiometabolic, inflammatory, and genetic risk factors in a US cohort.

PURPOSE: We aimed to identify key midlife dementia predictors and develop a novel machine learning (ML) -enabled risk prediction model. METHODS: Using...

Are diagnostic technologies for alzheimer's disease and dementia cost-effective? A systematic review of economic evaluations.

BACKGROUND: Alzheimer's disease (AD) and dementia pose a significant clinical and economic burden globally. Early diagnosis and intervention can poten...

Engineering nanobodies for drug delivery systems in Alzheimer's disease.

Alzheimer's disease (AD) remains a major global health challenge, with current therapies offering only symptomatic relief. A significant constraint in...

AI conversational agents in older adults with chronic disease: A scoping review.

To examine the relationship between artificial intelligence (AI) and older adults with chronic diseases a scoping review methodology was used. Using f...

The Mitochondrial Guardian α-Amyrin Mitigates Alzheimer's Disease Pathology via Modulation of the DLK-SARM1-ULK1 Axis.

High consumption of colorful fruits and vegetables correlates with low dementia risk, but the exact molecules and the underlying biological mechanisms...

Novel imidazolium salts bearing 2-oxindoles scaffold as potent acetylcholinesterase inhibitors for Alzheimer's disease: Design, synthesis, in vitro and in silico studies.

In this study, a series of thirty-five novel imidazolium salts bearing a 2-oxindoles were designed and synthesized as potent acetylcholinesterase (ACh...

Proteomics Profiling Reveals Circulating Biomarkers and Dysregulated Pathways in Transthyretin Amyloid Cardiomyopathy.

BACKGROUND: Transthyretin amyloid cardiomyopathy (ATTR-CM) causes a restrictive cardiomyopathy resulting in heart failure (HF). Signaling pathways ass...

Identifying Key Predictors of Appropriate Discharge Destinations for Older Inpatients in Acute Care: Scoping Review.

BACKGROUND: Postacute care (PAC) services are important to ensure functional recovery and provide adequate care for geriatric inpatients in acute care...

Identification of Chlamydia pneumoniae and NLRP3 inflammasome activation in Alzheimer's disease retina.

Chlamydia pneumoniae is an intracellular bacterium implicated in Alzheimer's disease (AD), but its role in retinal pathology and disease progression i...