Autism

Genetic counselors' utilization of ChatGPT in professional practice: A cross-sectional study.

PURPOSE: The precision medicine era has seen increased utilization of artificial intelligence (AI) i...

Bimodal Feature Analysis with Deep Learning for Autism Spectrum Disorder Detection.

Autism Spectrum Disorder (ASD) is a complex and heterogeneous neurodevelopmental disorder which affe...

Systematic bibliometric and visualized analysis of research hotspots and trends in artificial intelligence in autism spectrum disorder.

BACKGROUND: Artificial intelligence (AI) has been the subject of studies in autism spectrum disorder...

Classifying Alzheimer's disease and normal subjects using machine learning techniques and genetic-environmental features.

BACKGROUND: Alzheimer's disease (AD) is complicated by multiple environmental and polygenetic factor...

Benchmarking of deep neural networks for predicting personal gene expression from DNA sequence highlights shortcomings.

Deep learning methods have recently become the state of the art in a variety of regulatory genomic t...

Frontiers in nonviral delivery of small molecule and genetic drugs, driven by polymer chemistry and machine learning for materials informatics.

Materials informatics (MI) has immense potential to accelerate the pace of innovation and new produc...

A Scoping Review of the Use of Robotics Technologies for Supporting Social-Emotional Learning in Children with Autism.

This scoping review synthesises the current research into robotics technologies for promoting social...

ADHD/CD-NET: automated EEG-based characterization of ADHD and CD using explainable deep neural network technique.

UNLABELLED: In this study, attention deficit hyperactivity disorder (ADHD), a childhood neurodevelop...

Connectome-based prediction of the severity of autism spectrum disorder.

BACKGROUND: Autism spectrum disorder (ASD) is characterized by social and behavioural deficits. Curr...

Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries.

Biobanks that collect deep phenotypic and genomic data across many individuals have emerged as a key...

Artificial intelligence and allied subsets in early detection and preclusion of gynecological cancers.

Gynecological cancers including breast, cervical, ovarian, uterine, and vaginal, pose the greatest t...

Differences in the choice of beef artificial insemination sires used by dairy producers versus beef producers.

The growing demand among dairy producers for suitable beef sires to mate to their females creates th...

The Effects of Artificial Intelligence on Implementors' Fidelity of Instructional Strategies During Handwashing Acquisition in Children with Autism.

Handwashing is a vital skill for maintaining health and hygiene. For individuals with intellectual a...

On effectively predicting autism spectrum disorder therapy using an ensemble of classifiers.

An ensemble of classifiers combines several single classifiers to deliver a final prediction or clas...

Brain age predicted using graph convolutional neural network explains neurodevelopmental trajectory in preterm neonates.

OBJECTIVES: Dramatic brain morphological changes occur throughout the third trimester of gestation. ...

Artificial intelligence-enabled 8-lead ECG detection of atrial septal defect among adults: a novel diagnostic tool.

BACKGROUND: Patients with atrial septal defect (ASD) exhibit distinctive electrocardiogram (ECG) pat...

Domain-adaptive neural networks improve supervised machine learning based on simulated population genetic data.

Investigators have recently introduced powerful methods for population genetic inference that rely o...

A hybrid machine learning feature selection model-HMLFSM to enhance gene classification applied to multiple colon cancers dataset.

Colon cancer is a significant global health problem, and early detection is critical for improving s...

Editorial: Understanding the impact of AI and technology on the assessment, monitoring, and treatment of neurodevelopmental disorders.

Digenic Analysis Finds Highly Interactive Genetic Variants Underlying Polygenic Traits.

We briefly review our recently published approach to mining digenic genotype patterns, which consist...

Disparities in Diagnosis, Access to Specialist Care and Treatment for Inborn Errors of Immunity.

Inborn errors of immunity represent a rapidly expanding group of genetic disorders of the immune sys...