Autism

A machine learning-based screening tool for genetic syndromes in children - Authors' reply.

A machine learning-based screening tool for genetic syndromes in children.

Detection of captan residues in apple juice using fluorescence spectroscopy combined with a genetic algorithm and support vector machines.

The captan residues in apple juice were detected by fluorescence spectrometry, and the content level...

Extreme learning machine and genetic algorithm in quantitative analysis of sulfur hexafluoride by infrared spectroscopy.

Owing to the general disadvantages of traditional neural networks in gas concentration inversion, su...

Improving the noninvasive classification of glioma genetic subtype with deep learning and diffusion-weighted imaging.

BACKGROUND: Diagnostic classification of diffuse gliomas now requires an assessment of molecular fea...

Deep learning-based identification of genetic variants: application to Alzheimer's disease classification.

Deep learning is a promising tool that uses nonlinear transformations to extract features from high-...

A deep learning framework for characterization of genotype data.

Dimensionality reduction is a data transformation technique widely used in various fields of genomic...

An influent generator for WRRF design and operation based on a recurrent neural network with multi-objective optimization using a genetic algorithm.

Nowadays, modelling, automation and control are widely used for Water Resource Recovery Facilities (...

Neural network-based integration of polygenic and clinical information: development and validation of a prediction model for 10-year risk of major adverse cardiac events in the UK Biobank cohort.

BACKGROUND: In primary cardiovascular disease prevention, early identification of high-risk individu...

Recent Applications of Artificial Intelligence in Early Cancer Detection.

Cancer is a deadly disease that is often caused by the accumulation of various genetic mutations and...

A genetic algorithm and backpropagation neural network based temperature compensation method of spin-exchange relaxation-free co-magnetometer.

This paper presents a temperature compensation method based on the genetic algorithm (GA) and backpr...

Clinical Applications of Artificial Intelligence in Positron Emission Tomography of Lung Cancer.

The ability of a computer to perform tasks normally requiring human intelligence or artificial intel...

Applications and Challenges of Machine Learning Methods in Alzheimer's Disease Multi-Source Data Analysis.

BACKGROUND: Recent development in neuroimaging and genetic testing technologies have made it possibl...

[Application of Artificial Intelligence in Clinical Genomics].

Clinical genomics mainly studies the clinical application of genomics in diagnosis,treatment decisio...

The Role of Robotic Rehabilitation in Children with Neurodevelopmental Disorders.

In the last years, traditional treatments have been combined with innovative therapies, such as robo...

Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach.

BACKGROUND: Studies correlating specific genetic mutations and treatment response are ongoing to est...

Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5.

Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Although ge...

A machine learning framework to predict antibiotic resistance traits and yet unknown genes underlying resistance to specific antibiotics in bacterial strains.

Recently, the frequency of observing bacterial strains without known genetic components underlying p...

Integration and interplay of machine learning and bioinformatics approach to identify genetic interaction related to ovarian cancer chemoresistance.

Although chemotherapy is the first-line treatment for ovarian cancer (OCa) patients, chemoresistance...

Optimization of metronidazole SR buccal tablet for gingivitis using genetic algorithm.

Gingivitis is a condition that needs sustained concentration of antibiotic locally over extended per...

Interpretable SincNet-based Deep Learning for Emotion Recognition from EEG brain activity.

Machine learning methods, such as deep learning, show promising results in the medical domain. Howev...