Alzheimer's Disease

AI-Driven Mental Health Support for Caregivers of Individuals With Alzheimer Disease: Systematic Literature Review and Development of a Conceptual Framework.

BACKGROUND: Caregivers supporting individuals with Alzheimer disease and related dementias (AD/ADRD) frequently encounter prolonged emotional strain, psychological distress, and social isolation, yet their needs are largely overlooked in current technological and clinical interventions. The special routines and obligations of caregivers of individuals with AD/ADRD are frequently not well-suited to...

Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies.

BACKGROUND: Alzheimer disease and related dementias are increasing worldwide, with early detection during the mild cognitive impairment (MCI) stage critical for timely intervention. Driving behavior, which reflects everyday cognitive functioning, has emerged as a promising, noninvasive, and inexpensive digital biomarker when paired with machine learning. However, prior research has often relied on...

Digital support systems to improve child development in Peru: A cluster-randomized controlled open-label trial.

Digital technologies have the potential to transform early childhood development (ECD) interventions by delivering personalized support at scale. We c...

MRI In Vivo Detection of Amyloid-β Protein Deposition in Different Brain Regions of Patients with AD and MCI.

To investigate a non-invasive magnetic resonance imaging (MRI)-based method for detecting amyloid-β (Aβ) protein deposition in different brain regions...

Integrating ensemble machine-learning and fibril docking to discover potent, novel triazole-naphthalene tau-aggregation inhibitors.

Tau-protein aggregation is a central pathological feature of Alzheimer's disease, so blocking fibril growth is an attractive therapeutic goal. We cura...

Generative Artificial Intelligence: Implications for Families and Pediatricians.

Generative artificial intelligence (AI) technologies, capable of producing original text, images, audio, and video, are increasingly embedded in child...

Contribution of social determinants to symptoms of generalized anxiety disorder.

Symptoms of anxiety are known to be triggered by a range of life context factors including early life trauma, poor sleep quality, infrequent exercise,...

The role of ionotropic glutamate receptors in Alzheimer's disease: A scientometric analysis.

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaques, neurofibrillary tangles, and synapt...

A CNN-transformer fusion for EEG-based discrimination of Alzheimer's and frontotemporal dementia.

Dementia is a progressive neurodegenerative disorder that severely impacts cognitive functions and daily living, especially in aging populations. Amon...

Within-Day Variations in Infant Body Position Predict Caregiver Speech Input.

Infants' time spent in different body positions varies substantially within a day: lying supine on their backs, crawling or playing while prone on the...

Non-Linear Changes in Face Availability During Naturalistic Playtime Across the First Years: Insights From Head-Mounted Cameras and Automated Face Detection.

Faces provide crucial input for early development. This study leveraged innovations in wearable head-mounted cameras (headcams; specifically, TinyExpl...

Artificial intelligence robots for mental health applications: a scoping review.

BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingl...

Decoding Naturalistic Episodic Memory with Artificial Intelligence and Brain-Machine Interface.

Episodic memory integrates what, where, and when of experience into a coherent autobiographical narrative. Decades of research have identified hippoca...

Machine learning for site risk prediction in clinical trials: development, external validation, and operational application in site qualification.

BACKGROUND: Site selection and qualification represent critical operational challenges in clinical trials, particularly in rare diseases like transthy...

Puerarin mitigates tumor necrosis factor-nuclear factor-κB axis-driven macrophage inflammation and atherogenesis: Integrative network pharmacology and experimental validation.

BACKGROUND: Atherosclerosis (AS) is a chronic inflammatory disease that constitutes the primary pathological basis of cardiovascular disorders. Althou...

Deep learning-based synthetic brain MRI for the assessment of regional atrophy patterns in neurodegenerative diseases.

OBJECTIVES: Assessing regional brain atrophy on 3D-T1w imaging is crucial for evaluating neurodegenerative disorders. However, high-quality volumetric...

AI-powered BlindSpot VisionGuide system on raspberry Pi for enhancing independence of visually impaired users.

This work describes BlindSpot-VisionGuide, an integrated, AI-based assistive system that aims to empower visually impaired people towards independence...

Machine learning-guided Huanglian Jiedu decoction targets STING in periodontitis-induced Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder increasingly associated with peripheral inflammatory conditions such as chronic p...

Structural signature of plasma proteins classifies the status of Alzheimer's disease.

Alzheimer's disease (AD) involves proteostasis dysregulation causing protein misfolding, but whether these structural changes manifest as plasma confo...

Early Diagnosis of Alzheimer's: Machine Learning Analysis Leveraging Structural MRI.

INTRODUCTION: Alzheimer's disease (AD) is characterized by significant brain atrophy, detectable via structural MRI. There has been less focus on cort...