Neurology

Autism

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

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Prenatal Diagnostics Using Deep Learning: A Dual Approach to Plane Localization and Cerebellum Segmentation in Ultrasound Images.

OBJECTIVE: The fetal ultrasound examination is the significant task of mid-term pregnancy inspection...

Interoperable Models for Identifying Critically Ill Children at Risk of Neurologic Morbidity.

IMPORTANCE: Decreasing mortality in the field of pediatric critical care medicine has shifted practi...

Protocol for functional screening of CFTR-targeted genetic therapies in patient-derived organoids using DETECTOR deep-learning-based analysis.

Here, we present a protocol for the rapid functional screening of gene editing and addition strategi...

AI-based non-invasive imaging technologies for early autism spectrum disorder diagnosis: A short review and future directions.

Autism Spectrum Disorder (ASD) is a neurological condition, with recent statistics from the CDC indi...

Neural-symbolic hybrid model for myosin complex in cardiac ventriculum decodes structural bases for inheritable heart disease from its genetic encoding.

BACKGROUND: Human ventriculum myosin (βmys) powers contraction sometimes in complex with myosin bind...

High resolution multi-delay arterial spin labeling with self-supervised deep learning denoising for pediatric choroid plexus perfusion MRI.

Choroid plexus (CP) is an important brain structure that produces cerebrospinal fluid (CSF). CP perf...

Unveiling genetic basis of seedling emergence from deep soil depth under dry direct- seeded conditions in rice ( L.).

Water scarcity and labor shortage pose significant challenges in rice farming. Direct-seeded rice (D...

Exploring the application of AI in the education of children with autism: a public health perspective.

INTRODUCTION: Autism Spectrum Disorder (ASD) presents significant challenges in social communication...

Identifying autism spectrum disorder based on machine learning for multi-site fMRI.

BACKGROUND: Autism spectrum disorder (ASD) is a neurodevelopmental disorder characterized by repetit...

Intestinal Microbiome Modulation of Therapeutic Efficacy of Cancer Immunotherapy.

Bacteria are associated with certain cancers and may induce genetic instability and cancer progressi...

Analysis of the genetic basis of fiber-related traits and flowering time in upland cotton using machine learning.

Cotton is an important crop for fiber production, but the genetic basis underlying key agronomic tra...

Assessment of glymphatic function and white matter integrity in children with autism using multi-parametric MRI and machine learning.

OBJECTIVES: To assess glymphatic function and white matter integrity in children with autism spectru...

Multimodal multiview bilinear graph convolutional network for mild cognitive impairment diagnosis.

Mild cognitive impairment (MCI) is a significant predictor of the early progression of Alzheimer's d...

Modeling gene interactions in polygenic prediction via geometric deep learning.

Polygenic risk score (PRS) is a widely used approach for predicting individuals' genetic risk of com...

Proximity-based solutions for optimizing autism spectrum disorder treatment: integrating clinical and process data for personalized care.

Autism Spectrum Disorder (ASD) affects millions of individuals worldwide, presenting challenges in s...

Automated karyogram analysis for early detection of genetic and neurodegenerative disorders: a hybrid machine learning approach.

Anomalous chromosomes are the cause of genetic diseases such as cancer, Alzheimer's, Parkinson's, ep...

Unlocking autism's complexity: the e Initiative's path to comprehensive motor function analysis.

The long-standing practice of using manualized inventories and observational assessments to diagnose...

Perspective: Multiomics and Artificial Intelligence for Personalized Nutritional Management of Diabetes in Patients Undergoing Peritoneal Dialysis.

Managing diabetes in patients on peritoneal dialysis (PD) is challenging due to the combined effects...

Multiple, Single Trait GWAS and Supervised Machine Learning Reveal the Genetic Architecture of Fraxinus excelsior Tolerance to Ash Dieback in Europe.

Common ash (Fraxinus excelsior) is under intensive attack from the invasive alien pathogenic fungus ...

Highlights of Precision Medicine, Genetics, Epigenetics and Artificial Intelligence in Pompe Disease.

Pompe disease is a neuromuscular disorder caused by a deficiency of the enzyme acid alpha-glucosidas...

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