Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

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Showing 274-294 of 12,789 articles
Pharmacological potential of bioactive compounds in extract: A comprehensive review.

The pharmacological potential of bioactive compounds found in the plant, , have diverse medicinal ap...

Heterogeneous Graph Representation Learning Framework for Resting-State Functional Connectivity Analysis.

Brain functional connectivity analysis is important for understanding brain development and brain di...

A multimodal framework for assessing the link between pathomics, transcriptomics, and pancreatic cancer mutations.

In Pancreatic Ductal Adenocarcinoma (PDAC), predicting genetic mutations directly from histopatholog...

Artificial Neural Network - Multi-Objective Genetic Algorithm based optimization for the enhanced pigment accumulation in Synechocystis sp. PCC 6803.

BACKGROUND: Natural colorants produced by the cyanobacterium include carotenoids, chlorophyll a and ...

Bioactivity of Juglans regia kernel extracts optimized using response surface method and artificial neural Network-Genetic algorithm integration.

In this study, the biological activities of the extracts obtained under optimum extraction condition...

Optimized attention-enhanced U-Net for autism detection and region localization in MRI.

Autism spectrum disorder (ASD) is a neurodevelopmental condition that affects a child's cognitive an...

Semi-Automated Multi-Label Classification of Autistic Mannerisms by Machine Learning on Post Hoc Skeletal Tracking.

Mannerisms describe repetitive or unconventional body movements like arm flapping. These movements a...

Deep learning prioritizes cancer mutations that alter protein nucleocytoplasmic shuttling to drive tumorigenesis.

Genetic variants can affect protein function by driving aberrant subcellular localization. However, ...

Social and economic predictors of under-five stunting in Mexico: a comprehensive approach through the XGB model.

BACKGROUND: The multifaceted issue of childhood stunting in low- and middle-income countries has a p...

Validation of OncoOrigin: An Integrative AI Tool for Primary Cancer Site Prediction with Graphical User Interface to Facilitate Clinical Application.

Cancers of unknown primary (CUPs) represent a significant diagnostic and therapeutic challenge in th...

Improving genetic variant identification for quantitative traits using ensemble learning-based approaches.

BACKGROUND: Genome-wide association studies (GWAS) are rapidly advancing due to the improved resolut...

Mapping variants in thyroid hormone transporter MCT8 to disease severity by genomic, phenotypic, functional, structural and deep learning integration.

Predicting and quantifying phenotypic consequences of genetic variants in rare disorders is a major ...

S-ketamine exposure in early postnatal period induces social deficit mediated by excessive microglial synaptic pruning.

The impact of general anesthetics on neurodevelopment is highly controversial in terms of clinical a...

SVLearn: a dual-reference machine learning approach enables accurate cross-species genotyping of structural variants.

Structural variations (SVs) are diverse forms of genetic alterations and drive a wide range of human...

Biochemical Characterization of Disease-Associated Variants of Human Ornithine Transcarbamylase.

Human ornithine transcarbamylase deficiency (OTCD) is the most common ureagenesis disorder in the wo...

Popfinder: A Highly Effective Artificial Neural Network Package for Genetic Population Assignment.

The ability to assign biological samples to source populations with high accuracy and precision base...

MCDGLN: Masked connection-based dynamic graph learning network for autism spectrum disorder.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by complex physiologic...

Female autism categorization using CNN based NeuroNet57 and ant colony optimization.

Autism identification and classification using biomedical medical image analysis has advanced recent...

Leveraging Automated Machine Learning for Environmental Data-Driven Genetic Analysis and Genomic Prediction in Maize Hybrids.

Genotype, environment, and genotype-by-environment (G×E) interactions play a critical role in shapin...

Involvement of disulfidptosis in the pathophysiology of autism spectrum disorder.

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder, with oxidative stress recog...

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