Autism

Leveraging innovative technology to generate drug response phenotypes for the advancement of biomarker-driven precision dosing.

Although traditional approaches to biomarker discovery have elucidated key molecular markers that ha...

Deep learning applications for the classification of psychiatric disorders using neuroimaging data: Systematic review and meta-analysis.

Deep learning (DL) methods have been increasingly applied to neuroimaging data to identify patients ...

A machine learning method based on the genetic and world competitive contests algorithms for selecting genes or features in biological applications.

Gene/feature selection is an essential preprocessing step for creating models using machine learning...

In silico design of novel aptamers utilizing a hybrid method of machine learning and genetic algorithm.

Aptamers can be regarded as efficient substitutes for monoclonal antibodies in many diagnostic and t...

Creating artificial human genomes using generative neural networks.

Generative models have shown breakthroughs in a wide spectrum of domains due to recent advancements ...

Use of a tele-operated robot to increase sociability in individuals with autism spectrum disorder who display Hikikomori.

Identify abnormal functional connectivity of resting state networks in Autism spectrum disorder and apply to machine learning-based classification.

Autism spectrum disorder (ASD) patients are often reported altered patterns of functional connectivi...

Detecting neurodevelopmental trajectories in congenital heart diseases with a machine-learning approach.

We aimed to delineate the neuropsychological and psychopathological profiles of children with congen...

Multi-task edge-recalibrated network for male pelvic multi-organ segmentation on CT images.

Automated male pelvic multi-organ segmentation on CT images is highly desired for applications, incl...

Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm.

Estimation of the epidemiology curve for the COVID-19 pandemic can be a very computationally challen...

The Camouflage Machine: Optimizing protective coloration using deep learning with genetic algorithms.

Evolutionary biologists frequently wish to measure the fitness of alternative phenotypes using behav...

Simultaneous spectrophotometric quantitative analysis of velpatasvir and sofosbuvir in recently approved FDA pharmaceutical preparation using artificial neural networks and genetic algorithm artificial neural networks.

Two chemometric assisted spectrophotometric models were applied for the quantitative analysis of vel...

DNA sequences performs as natural language processing by exploiting deep learning algorithm for the identification of N4-methylcytosine.

N4-methylcytosine is a biochemical alteration of DNA that affects the genetic operations without mod...

Machine learning based CRISPR gRNA design for therapeutic exon skipping.

Restoring gene function by the induced skipping of deleterious exons has been shown to be effective ...

Generating real-world evidence from unstructured clinical notes to examine clinical utility of genetic tests: use case in BRCAness.

BACKGROUND: Next-generation sequencing provides comprehensive information about individuals' genetic...

Identification of autism spectrum disorder based on short-term spontaneous hemodynamic fluctuations using deep learning in a multi-layer neural network.

OBJECTIVE: To classify children with autism spectrum disorder (ASD) and typical development (TD) usi...

Natural language processing (NLP) tools in extracting biomedical concepts from research articles: a case study on autism spectrum disorder.

BACKGROUND: Natural language processing (NLP) tools can facilitate the extraction of biomedical conc...

A novel gene expression test method of minimizing breast cancer risk in reduced cost and time by improving SVM-RFE gene selection method combined with LASSO.

Breast cancer is the leading diseases of death in women. It induces by a genetic mutation in breast ...

Systems Approach to Pathogenic Mechanism of Type 2 Diabetes and Drug Discovery Design Based on Deep Learning and Drug Design Specifications.

In this study, we proposed a systems biology approach to investigate the pathogenic mechanism for id...

Sparse deep dictionary learning identifies differences of time-varying functional connectivity in brain neuro-developmental study.

Recently, the focus of functional connectivity analysis of human brain has shifted from merely revea...

Design deep neural network architecture using a genetic algorithm for estimation of pile bearing capacity.

Determination of pile bearing capacity is essential in pile foundation design. This study focused on...