Latest AI and machine learning research in geriatrics for healthcare professionals.
Transfer learning is a common solution to address cross-domain identification problems in Human Acti...
Biomarkers are one of the primary medical signs to facilitate the early detection of Alzheimer's dis...
Extracellular recordings are severely contaminated by a considerable amount of noise sources, render...
Alzheimer's disease (AD) is a leading cause of dementia, and the current diagnostic methods of AD, s...
For meeting the challenge of aging, multi-diseased societies, cost containment, workforce developmen...
PURPOSE: Clinical TNM staging is a key prognostic factor for patients with lung cancer and is used t...
In our recent transcriptomic meta-analysis, we used random forest machine learning to accurately pre...
Arboreal mammals navigate a highly three dimensional and discontinuous habitat. Among arboreal mamma...
Accurately identifying potential drug-target interactions (DTIs) is a key step in drug discovery. Al...
This study aimed to develop an artificial intelligence (AI)-based tool for screening COVID-19 patien...
INTRODUCTION: Long QT syndrome (LQTS) is a less prevalent cardiac ion channelopathy than Brugada syn...
Traditional stereophonic acoustic echo cancellation algorithms need to estimate acoustic echo paths ...
OBJECTIVE: This study aims to improve the classification of the fall incident severity level by cons...
To investigate the effect of insertion technique and electrode array type on the insertion force of...
Here we assessed changes in subcortical volumes in alcohol use disorder (AUD). A simple morphometry-...
This paper investigates the philosophical and designerly questions of how the concepts of familiarit...
Artificial intelligence (AI) and machine learning refer to computers built and programed by humans t...
The long non-coding RNAs (lncRNAs) are subject of intensive recent studies due to its association wi...