Geriatrics

Latest AI and machine learning research in geriatrics for healthcare professionals.

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Subcategories: Alzheimer's Disease Medicare
Showing 337-357 of 7,162 articles
Biodentine Counteracts the Aging Process of Human Dental Pulp Stem Cells Through Wnt/β-Catenin Pathway.

OBJECTIVES: This study aimed to evaluate the effects of Biodentine on human Dental Pulp Stem Cells (...

The two cut-offs approach for plasma p-tau217 in detecting Alzheimer's disease in subjective cognitive decline and mild cognitive impairment.

BACKGROUND: The study aimed to explore the applicability of plasma phosphorylated tau (p-tau)217 in ...

Study on the effect and mechanism of PM on the expression of alzheimer's-like lesions related proteins in SH-SY5Y cells.

Fine particulate matter (PM) is recognized as one of the most harmful environmental pollutants to hu...

Splenic and portal venous flow associated with frailty and sarcopenia in older outpatients with cardiovascular disease.

BACKGROUND: Older patients with cardiovascular disease often experience frailty and sarcopenia. We e...

Integrating Fine-Tuned LLM with Acoustic Features for Enhanced Detection of Alzheimer's Disease.

Dementia represents a global public health concern, with the early detection of Alzheimer's disease,...

A correlational study of plasma galectin-3 as a potential predictive marker of postoperative delirium in patients with acute aortic dissection.

This study aimed to demonstrate whether plasma galectin-3 could predict the development of postopera...

Branding a New Technological Outlook for Future Orthopaedics.

Orthopedics is undergoing a transformative shift driven by personalized medical technologies that en...

Interpretable MRI-Based Deep Learning for Alzheimer's Risk and Progression.

Timely intervention for Alzheimer's disease (AD) requires early detection. The development of immuno...

End-to-End Architecture for Real-Time IoT Analytics and Predictive Maintenance Using Stream Processing and ML Pipelines.

The rapid proliferation of Internet of Things (IoT) devices across industries has created a need for...

EEG-based neurodegenerative disease diagnosis: comparative analysis of conventional methods and deep learning models.

In the context of lifestyle changes, stress and other environmental factors have resulted in the sud...

AD-AutoGPT: An autonomous GPT for Alzheimer's disease infodemiology.

In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on...

Pattern recognition in crash clusters involving vehicles with advanced driving technologies.

Autonomous Vehicle (AV) technologies, including Advanced Driver Assistance Systems (ADAS) and Automa...

Prediction and metabolomics reveal aroma profiles of mead aged in glass bottle and oak barrels.

Metabolomic analysis of volatile compounds in mead during aging in glass bottles and oak barrels rev...

Improving Foundation Model for Endoscopy Video Analysis via Representation Learning on Long Sequences.

Recent advancements in endoscopy video analysis have relied on the utilization of relatively short v...

Predictive value of the 5-item modified frailty index in adverse outcomes in total elbow arthroplasty: A machine-learning model analysis.

INTRODUCTION: The modified frailty index (mFI-5) is a five factor risk stratification tool predicate...

Optimizing elderly care: A data-driven AI model for predicting polypharmacy risk in the elderly using SHARE data.

BACKGROUND: Aging is frequently accompanied by multimorbidity, the presence of multiple chronic cond...

TCN-QV: an attention-based deep learning method for long sequence time-series forecasting of gold prices.

Accurate prediction of gold prices is crucial for investment decision-making and national risk manag...

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