Geriatrics

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

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Efficient deep learning model for mitosis detection using breast histopathology images.

Mitosis detection is one of the critical factors of cancer prognosis, carrying significant diagnosti...

Augmented reality for personalized nanomedicines.

As our understanding of onset and progress of diseases at the genetic and molecular level rapidly pr...

Metabolism of Dopamine in Nucleus Accumbens Astrocytes Is Preserved in Aged Mice Exposed to MPTP.

Parkinson disease (PD) is prevalent in elderly individuals and is characterized by selective degener...

What are the preferred characteristics of a service robot for the elderly? A multi-country focus group study with older adults and caregivers.

This multi-perspective study focuses on how a service robot for the elderly should behave when inter...

[Emotional robots in a nursing context : Empirical analysis of the present use and the effects of Paro and Pleo].

BACKGROUND: It has been questioned by researchers in robotics as well in the general public to what ...

Acceptance and perceived usefulness of robots to assist with activities of daily living and healthcare tasks.

As the number of older adults living with chronic conditions continues to rise, they will require as...

User-Oriented Evaluation of a Robotic Rollator That Provides Navigation Assistance in Frail Older Adults with and without Cognitive Impairment.

BACKGROUND: Navigational skills decline with age, and this decline is even more pronounced in cognit...

Efficient Active Sensing with Categorized Further Explorations for a Home Behavior-Monitoring Robot.

Mobile robotics is a potential solution to home behavior monitoring for the elderly. For a mobile ro...

Early Diagnosis of Alzheimer's Disease Based on Resting-State Brain Networks and Deep Learning.

Computerized healthcare has undergone rapid development thanks to the advances in medical imaging an...

Medication discrepancies in late-stage chronic kidney disease.

BACKGROUND: Late-stage chronic kidney disease (LS-CKD) can be defined by glomerular filtration rate ...

Looking for Alzheimer's Disease morphometric signatures using machine learning techniques.

BACKGROUND: We present our results in the International challenge for automated prediction of MCI fr...

Anti-aging factor, serum alpha-Klotho, as a marker of acute physiological stress, and a predictor of ICU mortality, in patients with septic shock.

PURPOSE: Genetic deletions decreasing serum alpha-Klotho (alpha-KL) have been associated with rapid ...

Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

Machine learning methods have been applied to many data sets in pharmaceutical research for several ...

Perception and Respiratory Responses of the Upper Airway Mechanism to Added Resistance With Aging.

OBJECTIVES: To assess breathing behaviors and perception of added respiratory loads in young compare...

Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor...

Working Memory and Decision-Making in a Frontoparietal Circuit Model.

Working memory (WM) and decision-making (DM) are fundamental cognitive functions involving a distrib...

Ensemble based on static classifier selection for automated diagnosis of Mild Cognitive Impairment.

BACKGROUND: Alzheimer's disease (AD) is the most common cause of neurodegenerative dementia in the e...

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