Latest AI and machine learning research in autism for healthcare professionals.
Crop domestication has induced a severe genetic bottleneck that reduces the adaptive diversity present in modern cultivars. Standard intra-population genomic prediction models reliant on linear reference genomes and SNPs fail to capture the full spectrum of phenotypic variance hidden in wild relatives. Realizing this potential requires broadening the predictive paradigm from selection within narro...
BACKGROUND: Autism Spectrum Disorder (ASD) is characterized by challenges in social interaction, communication, and restricted or repetitive behaviors, with motor abnormalities increasingly recognized as potential indicators for early identification. OBJECTIVE: This paper presents a comprehensive review of recent advancements in ASD research, with particular emphasis on neuroimaging, artificial in...
Early identification of individuals at risk of developing psychosis enables timely intervention and better clinical outcomes. Current approach relies ...
PURPOSE: This study examines the impact of Artificial Intelligence (AI)-enhanced instructional tools on science learning, engagement, and social inter...
Soil salinity poses a major threat to global food security, impairing plant physiology through ionic toxicity, osmotic stress, and oxidative damage. H...
Epilepsy comprises a highly heterogeneous group of neurological disorders unified by a persistent predisposition to recurrent seizures, yet driven by ...
The Piezo1 channel is a mechanosensitive, non-selective cation channel that converts mechanical forces into electrochemical signals, playing pivotal r...
Based on the principles of engineering reconstruction and programmable design, synthetic biology is driving a paradigm shift in biomedical diagnosis a...
OBJECTIVE: Adiposity rebound (AR), the second rise in BMI during growth, increases the risk of obesity and metabolic diseases when it occurs early. We...
BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adolescents. Digital therapeuti...
OBJECTIVES: To compare the ability of different machine learning models to predict the risk of side effects in patients with breast cancer undergoing ...
This study aimed to identifydistinct profiles of response to Tumor Necrosis Factor inhibitors (TNFi) in rheumatoid arthritis (RA) patients using unsup...
[This retracts the article DOI: 10.1049/htl2.12073.].
Early and objective screening of Autism Spectrum Disorder (ASD) remains challenging because conventional diagnosis primarily relies on behavioural ass...
INTRODUCTION: Haemophilia is a rare congenital bleeding disorder that presents significant physical and psychological challenges, especially for young...
UNLABELLED: Sustainable crop improvement is urgently needed to ensure global food security, particularly for developing and densely populated countrie...
BACKGROUND: Hyperlipidemia is a major modifiable contributor to atherosclerotic cardiovascular disease (ASCVD). Despite statins as first-line therapy,...
Graph theory provides unique tools to assess complex networks. It has been previously used with functional magnetic resonance imaging (fMRI) datasets ...
Autism Spectrum Disorder (ASD) is a neurological and developmental condition that affects children's social and cognitive skills, leading to repetitiv...
The mechanical properties of fruit tissue play a crucial role in various food processing activities, including sorting, packaging, and transportation....