Geriatrics

Analyzing Frequency-Space-Time EEG Signatures via Interpretable Neural Networks: A Simulation Study.

OBJECTIVE: Event-related EEG activity is widely investigated to characterize brain functions. Traditional analyses rely on heavy pre-processing and strong a priori assumptions, which limit reproducibility and may obscure task-relevant neural activity. This study aims to validate an interpretable convolutional neural network (CNN) capable of highlighting frequency-, spatial-, and temporal-domain EE...

Real-World Barriers to and Facilitators of Implementing AI-Based Clinical Decision Support Systems: Scoping Review.

BACKGROUND: Widespread and sustained uptake of AI-based clinical decision support systems (CDSSs) in real-world health care settings is uncommon, despite their potential to improve patient care and reduce clinician burnout. Although previous studies have examined determinants of implementing AI-based CDSSs, limited evidence has synthesized barriers and facilitators identified during actual clinica...

Predictive value of the Alzheimer polygenic risk score on cognitive decline in patients with mild cognitive impairment and Alzheimer's disease dementia.

BACKGROUND: Polygenic risk scores for Alzheimer's disease (AD-PRS) are widely used to estimate genetic susceptibility to AD, but their relationship wi...

Integrative machine learning and single-nucleus transcriptomics reveal MAPK-centered neuronal responses underlying the potential Alzheimer's disease risk of GenX.

Hexafluoropropylene oxide-dimer acid (GenX or HFPO-DA) is a novel per- and polyfluoroalkyl substance developed as a replacement for legacy compounds, ...

A large language model-driven multidisciplinary AI agent system predicts delirium in emergency critically ill patients.

Delirium occurs frequently in emergency departments and is associated with poor outcomes and increased burden. Early delirium risk prediction is cruci...

Bidirectional cross-modal attention with adaptive gating for multimodal alzheimer's disease classification.

Alzheimer's disease (AD) is a neurodegenerative disorder, and mild cognitive impairment (MCI) represents a transitional stage between AD and cognitive...

Bridging the islands of innovation: A machine-assisted Semantic-Bibliometric review and conceptual roadmap for closed-loop digital dementia care.

BACKGROUND: Artificial intelligence (AI), extended reality (XR), and socially assistive robotics (SAR) are each advancing Alzheimer's disease (AD) res...

Unraveling the molecular Nexus of Alzheimer's Disease and HIV encephalitis: The role of cellular senescence and transcriptional regulation.

Alzheimer's disease (AD) and HIV-associated neurocognitive disorder (HAND) share progressive cognitive decline. Their common molecular mechanisms rema...

End-To-End Discovery of MOFs for Ambient CH4 Adsorption.

We report an end-to-end computational-experimental workflow for the discovery of metal-organic frameworks (MOFs), demonstrated by the computational de...

Development and validation of machine learning models to predict risk of undiagnosed dementia using healthcare claims and electronic health record data.

BackgroundApproximately half of people living with Alzheimer's disease and related dementias are undiagnosed.ObjectiveTo develop and validate algorith...

From voxel discovery to regional interaction: A multi-level interpretable framework for Alzheimer's disease diagnosis.

Alzheimer's disease (AD) is an irreversible neurodegenerative disorder where early diagnosis serves as the only viable window for effective interventi...

Pharmacogenomic and Drug Interactions Risk in Cardio-Oncology: A precision medicine perspective for India.

Cardio-oncology patients may face complex treatment regimens due to the concurrent existence of cancer and cardiovascular disease, leading to a consid...

Three-dimensional mapping of intact ovaries reveals the aging dynamics of the ovarian reserve.

Female fertility depends on a finite pool of oocytes that depletes during aging1,2, yet the spatiotemporal dynamics of this depletion remain poorly un...

A Large Language Model-Based Simulation Protocol Using ChatGPT for Training Novice Critical Care Nurses in Family Crisis Communication and De-escalation.

High-stress conversations with family members in distress are a common part of the intensive care unit (ICU) nursing environment. Novice critical care...

Frailty prediction in heart failure patients with acute infections: the potential role of thiazide diuretics?

BACKGROUND: Frailty remains a significant risk factor for adverse health outcomes in hospitalized patients. Few have evaluated frailty risk and its in...

Machine learning-based prediction of postoperative restenosis risk following direct repair of paediatric coarctation of the aorta.

OBJECTIVES: Coarctation of the aorta is a congenital cardiovascular disease with focal aortic luminal narrowing, and paediatric patients face a high p...

A preliminary analysis of relationship between dual-task gait and age-related cognitive ability using neural network models.

BackgroundAging causes declines in cognitive and motor functions, often manifested in altered gait. Dual-task gait is a sensitive marker for early fun...

AI-Driven Digital Tools for Atopic Dermatitis: A Scoping Review.

BACKGROUND: Atopic dermatitis (AD) affects around 20% of children and up to 10% of adults. Its fluctuating course, severe pruritus, and impact on slee...

An Open-Set Raman Spectroscopy Framework for Rapid Profiling of Microplastic Types and Aging States in Complex Seawater.

Microplastics (MPs), as ubiquitous environmental pollutants, pose significant ecotoxicological risks due to their accumulation in marine food chains a...

Accelerated Brain Aging in Type 1 Diabetes Across Painful and Painless Peripheral Neuropathy: MRI-Based Brain Age Estimates From Deep Learning.

Accelerated brain aging has been reported in diabetes, but its links with diabetic peripheral neuropathy (DPN) and neuropathic pain remain unclear. We...