Geriatrics

Pan-Tissue Aging Clock Genes That Have Intimate Connections with the Immune System and Age-Related Disease.

In our recent transcriptomic meta-analysis, we used random forest machine learning to accurately pre...

Inertial Tail Effects during Righting of Squirrels in Unexpected Falls: From Behavior to Robotics.

Arboreal mammals navigate a highly three dimensional and discontinuous habitat. Among arboreal mamma...

An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction.

Accurately identifying potential drug-target interactions (DTIs) is a key step in drug discovery. Al...

Paediatric/young versus adult patients with long QT syndrome.

INTRODUCTION: Long QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syn...

Evaluating resampling methods and structured features to improve fall incident report identification by the severity level.

OBJECTIVE: This study aims to improve the classification of the fall incident severity level by cons...

Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.

Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-...

T-able: An Investigation of Habituating Moving Tables at Home.

This paper investigates the philosophical and designerly questions of how the concepts of familiarit...

Robotic hand augmentation drives changes in neural body representation.

Humans have long been fascinated by the opportunities afforded through augmentation. This vision not...

[A preliminary investigation on a deep learning convolutional neural networks based pulmonary tuberculosis CT diagnostic model].

To evaluate the clinical value of a pulmonary tuberculosis CT diagnostic model based on deep learni...

Use of Artificial Intelligence and Deep Neural Networks in Evaluation of Patients With Electrocardiographically Concealed Long QT Syndrome From the Surface 12-Lead Electrocardiogram.

IMPORTANCE: Long QT syndrome (LQTS) is characterized by prolongation of the QT interval and is assoc...

On training targets for deep learning approaches to clean speech magnitude spectrum estimation.

Estimation of the clean speech short-time magnitude spectrum (MS) is key for speech enhancement and ...

Robot-induced hallucinations in Parkinson's disease depend on altered sensorimotor processing in fronto-temporal network.

Hallucinations in Parkinson's disease (PD) are disturbing and frequent non-motor symptoms and consti...

Teledermatology in 2020: past, present and future perspectives.

Born in 1995, teledermatology (TD) turns 25 years old today. Since then, TD evolved according to pat...

Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults.

BACKGROUND: Advances in computational algorithms and the availability of large datasets with clinica...

Biological applications of knowledge graph embedding models.

Complex biological systems are traditionally modelled as graphs of interconnected biological entitie...

Letter to the editor in response to "Risk prediction of delirium in hospitalized patients using machine learning: an implementation and prospective evaluation study".

The Importance of Incorporating Human Factors in the Design and Implementation of Artificial Intelligence for Skin Cancer Diagnosis in the Real World.

Artificial intelligence (AI) algorithms have been shown to diagnose skin lesions with impressive acc...

[A Preliminary Study of Applying Geometric Deep Learning in Brain Morphometry for Diagnosis of Alzheimer's Disease].

OBJECTIVE: A predictive model of Alzheimer's disease (AD) was established based on brain surface mes...

Converting disease maps into heavyweight ontologies: general methodology and application to Alzheimer's disease.

Omics technologies offer great promises for improving our understanding of diseases. The integration...

In Vivo Assay of Cortical Microcircuitry in Frontotemporal Dementia: A Platform for Experimental Medicine Studies.

The analysis of neural circuits can provide crucial insights into the mechanisms of neurodegeneratio...

Prediction of Alzheimer's disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening.

Exon splicing triggered by unpredicted genetic mutation can cause translational variations in neurod...