Latest AI and machine learning research in practice management for healthcare professionals.
BACKGROUND: Data, particularly 'big' data are increasingly being used for research in health. Using ...
OBJECTIVE: Electronic health records linked with biorepositories are a powerful platform for transla...
Computer vision algorithms have made tremendous advances in recent years. We now have algorithms tha...
Modeling discrete phenotypic traits for either ancestral character state reconstruction or morpholog...
Genome-wide association studies (GWAS) associate single nucleotide polymorphisms (SNPs) to complex p...
Very little is known about long non-coding RNAs (lncRNAs) in the mammalian olfactory sensory epithel...
The use of robots to teach students with autism spectrum disorder communication skills has basis in ...
Promoter region of protein-coding genes are gradually being well understood, yet no comparable studi...
Research on teaching STEM, especially in the areas of teaching coding for students with ASD, is lack...
INTRODUCTION: Adverse drug reaction (ADR) detection in hospitals is heavily reliant on spontaneous r...
In order to provide a theoretical basis for better understanding the function and properties of prot...
An ontology offers a human-readable and machine-computable representation of the concepts in a domai...
OBJECTIVE: The goal of this research is to develop a machine learning supervised classification mode...
OBJECTIVE: To investigate the effects of long non-coding RNA RP1-90L14.1 on the proliferation, migra...
AIMS: Electrical storm (ES) is a serious arrhythmic syndrome that is characterized by recurrent epis...
Recent advances in next-generation sequencing technologies have facilitated the use of deoxyribonucl...
This paper describes a method by which the Web Ontology Language (OWL) can be used to specify a high...
PURPOSE: To compare the accuracy and reliability of a natural language processing (NLP) algorithm wi...
MOTIVATION: Long non-coding RNAs (lncRNAs) are important regulatory elements in biological processes...
The current deluge of newly identified RNA transcripts presents a singular opportunity for improved ...
MOTIVATION: The convolutional neural network (CNN) has been applied to the classification problem of...