Geriatrics

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

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PlantRNA_Sniffer: A SVM-Based Workflow to Predict Long Intergenic Non-Coding RNAs in Plants.

Non-coding RNAs (ncRNAs) constitute an important set of transcripts produced in the cells of organis...

Case report of a novel mutation of the gene in a patient with branchio-oto-renal syndrome.

Branchio-oto-renal (BOR) syndrome is an autosomal dominant disorder characterized by the coexistence...

Aging, frailty and complex networks.

When people age their mortality rate increases exponentially, following Gompertz's law. Even so, ind...

DeepNAT: Deep convolutional neural network for segmenting neuroanatomy.

We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic segmentation of Neuro...

Differentiating Sense through Semantic Interaction Data.

Words which have different representations but are semantically related, such as dementia and deliri...

A retrospective study on screening and management of osteoporosis in breast cancer women treated with aromatase inhibitors in Libya.

Negative health effects of aromatase inhibitors (AI) treatments on bones such as osteoporosis are ev...

Early identification of mild cognitive impairment using incomplete random forest-robust support vector machine and FDG-PET imaging.

Alzheimer's disease (AD) is the most common type of dementia and will be an increasing health proble...

A Wearable Hip Assist Robot Can Improve Gait Function and Cardiopulmonary Metabolic Efficiency in Elderly Adults.

The aims of this paper were to investigate the effectiveness of a newly developed wearable hip assis...

Deep ensemble learning of sparse regression models for brain disease diagnosis.

Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in ...

Relational-Regularized Discriminative Sparse Learning for Alzheimer's Disease Diagnosis.

Accurate identification and understanding informative feature is important for early Alzheimer's dis...

Predicting probable Alzheimer's disease using linguistic deficits and biomarkers.

BACKGROUND: The manual diagnosis of neurodegenerative disorders such as Alzheimer's disease (AD) and...

A natural language-based presentation of cognitive stimulation to people with dementia in assistive technology: A pilot study.

Currently, an estimated 36 million people worldwide are affected by Alzheimer's disease or related d...

The Default Mode Network in Healthy Individuals: A Systematic Review and Meta-Analysis.

When the brain is not engaged in goal-directed activities and at rest, there are still measureable p...

A novel end-to-end classifier using domain transferred deep convolutional neural networks for biomedical images.

BACKGROUND AND OBJECTIVES: Highly accurate classification of biomedical images is an essential task ...

The Functional Integration in the Sensory-Motor System Predicts Aging in Healthy Older Adults.

Healthy aging is typically accompanied by a decrease in the motor capacity. Although the disrupted n...

An Indoor Positioning System Based on Wearables for Ambient-Assisted Living.

The urban population is growing at such a rate that by 2050 it is estimated that 84% of the world's ...

Association of Vitamin D Deficiency and Thyroid Function in Postmenopausal Women.

Although there are reports of vitamin D (VitD) insufficiency in immune-mediated hypothyroidism, an ...

Dynamic long leg casting fixation for treating 12- to 18-month-old infants with developmental dysplasia of the hip.

Objective To evaluate the effect of dynamic long leg casting in paediatric patients with development...

Rey's Auditory Verbal Learning Test scores can be predicted from whole brain MRI in Alzheimer's disease.

Rey's Auditory Verbal Learning Test (RAVLT) is a powerful neuropsychological tool for testing episod...

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