Geriatrics

Artificial Intelligence-Enabled Electrocardiographic Detection of Severe Aortic Stenosis Leading to Transcatheter Aortic Valve Replacement.

BACKGROUND: EchoNext is an artificial intelligence (artificial intelligence)-enabled electrocardiogr...

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 ...

Women's reproductive factors predict local brain aging profiles mapped using deep neural networks.

Deep neural networks (DNNs) trained on magnetic resonance images can estimate global brain age (GBA)...

Evaluating the Use of Generative AI Videos for Health Self-Management of Older Adults: Mixed Methods Study.

BACKGROUND: Aging is a pressing global issue, and older adults need to build up their knowledge to m...

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infec...

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...

Integration of multi-omics and machine learning to reveal the anti-osteoporosis effects of Hederagenin by inhibiting lipid peroxidation via the GPX4/p-STAT1/PTGS2 axis.

Osteoporosis (OP) is a multifactorial disease, leading to abnormal bone remodeling, requiring target...

AI-Driven Internet of Things (IoT) dataset for remote health monitoring and fall detection in elderly people.

Many older adults live with one or more chronic conditions that require ongoing monitoring. At the s...

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

BackgroundAlzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by amyl...

Deep learning ensemble models for CT-based differentiation of malignant and benign sacral bone tumors: development and evaluation.

OBJECTIVE: Radiologists often face challenges in differentiating benign from malignant sacral bone l...

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 d...

METRON: Metabolic Dynamic Perception Kolmogorov-Arnold Network for Biological Age Estimation.

Biological age provides a more direct reflection of physiological status than chronological age, ser...

Enabling digital multifactorial risk assessment in primary care: an umbrella review and recommendations for design and implementation.

OBJECTIVES: To develop recommendations to inform development and integration of predictive digital h...

Artificial Intelligence-Based Frailty Assessment Outperforms Clinical Assessment in Predicting Outcomes After Transcatheter Aortic Valve Implantation.

Integration of Short- and Long-Read RNA Sequencing Enables the Discovery of Circular RNAs.

UNLABELLED: Circular RNAs (circRNA) are associated with crucial hallmarks of tumorigenesis. Select c...

Deep Learning-Derived Sarcopenia Marker Predicts Benefit from Anti-EGFR Therapy in Patients with RAS Wild-type Metastatic Colorectal Cancer.

PURPOSE: The benefit of treatment intensification in metastatic colorectal cancer (mCRC) may be infl...

A novel framework for cognitive state identification using resting-state EEG.

Recent advancements in cognitive impairment research have led to significant progress. Electroenceph...

Towards a cybersecure and privacy enhanced smart grid: A blockchain enabled federated learning framework.

In smart grids, data collection is carried out through smart meters and devices of the Internet of T...

ORANGE: a machine learning approach for modeling tissue-specific aging from transcriptomic data.

Despite aging being a fundamental biological process that profoundly influences health and disease, ...

Adverse reactions of PD-1/PD-L1 inhibitors in cancer: FAERS database analysis and protocols to mitigate immune-related events in elderly patients and when using pembrolizumab and atezolizumab.

OBJECTIVE: This study aimed to characterize adverse drug reactions (ADRs) associated with programmed...

Renal interstitial inflammation predicts IgA nephropathy progression via multiple machine learning models.

BACKGROUND: Renal interstitial inflammation (RII) is a frequent pathological feature in IgA nephropa...