Autism

Automated analysis of C. elegans behavior by LabGym: an open-source, AI-powered platform.

The genetic tractability, well-mapped circuitry, and diverse behavioral repertoire of the nematode C. elegans make it an ideal model for physiological and behavioral studies. A wide range of methods has been developed for analyzing C. elegans behaviors, evolving with advances in technology such as videography and computer-assisted analysis. Here, we introduce LabGym-an open-source, artificial inte...

Disparate language and model effects on AI-based translation and recognition of genetic conditions.

INTRODUCTION: Artificial intelligence (AI) is increasingly prevalent. Patients and clinicians may use AI-based tools in many different languages. OBJECTIVE: To investigate AI translation tools for descriptions of genetic conditions and how AI identification of genetic conditions is affected by translations. MATERIALS AND METHODS: We used Neural machine translation (NMT) and large language-model (L...

Deep learning model for genotype prediction from echocardiographic videos in non-ischaemic dilated cardiomyopathy.

AIMS: Non-ischaemic dilated cardiomyopathy (DCM) is frequently characterized by the presence of pathogenic germline variants, and genotype positivity ...

A two-step temporal data augmentation and supervised learning framework for predicting autism diagnosis at 36 months in patients with tuberous sclerosis complex.

BACKGROUND: Autism spectrum disorder (ASD) affects approximately 25-50% of children with tuberous sclerosis complex (TSC). Early identification of ASD...

Patients and donors trust in data authorization for AI-based medical research.

Artificial intelligence (AI) is increasingly being applied to biomedical research and public healthcare. However, concerns regarding security are aris...

Multi-scale data improves performance of machine learning model for long COVID identification.

BACKGROUND: Long COVID affects a substantial proportion of the over 778 million individuals infected with SARS-CoV-2, yet predictive models remain lim...

Genetic analyses of udder conformation traits and daily milk yield measured by robotic milking systems using repeatability and random regression models in American Holstein cattle.

Udder conformation is a key component of functional dairy production because it influences milking efficiency, susceptibility to mastitis, and cow wel...

Genetic variants and polygenic risk scores associated with paroxysmal atrial fibrillation in the Japanese population.

Early-stage diagnosis of paroxysmal atrial fibrillation (PAF) is challenging owing to its asymptomatic nature. However, the genetic factors underlying...

Prediction of compressive strength of recycled concrete cylinders reinforced with fiber-reinforced polymer using a combined genetic algorithm and neural network approach.

Concrete is one of the most widely used construction materials and may experience cracking and erosion over time, leading to reduced strength and stru...

Hybrid Vi+ECNN framework for advanced ADHD diagnostic accuracy in medical imaging.

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that imposes significant personal and societal burdens. Tra...

Diagnostic Classification of Autism Spectrum Disorder in the Frequency Domain Using Resting-State fMRI.

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with problems in social interactions, verbal and non-verbal communication, repetitive ...

Multilevel Correlation-Aware and Modal-Aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders.

OBJECTIVE: Graph-based methods using resting-state functional magnetic resonance imaging demonstrate strong capabilities in modeling brain networks. H...

Fingerprints Encode Risk for Bipolarity.

BACKGROUND: Fingerprint patterns are developed during pregnancy and share a common embryogenic origin with the central nervous system. Considering the...

Quantifying Repetitive Hand Flapping Kinematics in Autistic and Non-Autistic Toddlers Using Video-Based Pose Estimation.

While repetitive behaviors such as hand flapping are associated with autism, non-autistic toddlers also exhibit this behavior (e.g., when excited), ma...

Machine Learning Algorithms for Detection of Autism Spectrum Disorders in Early Childhood: A Scoping Review.

OBJECTIVE: This scoping review assesses machine learning (ML)-based prediction models for autism spectrum disorder (ASD) in early childhood, with the ...

The Genetic Origin of Uneven Cognitive Profiles in Heritable Neurodevelopmental Conditions and Individual Differences: Computational Investigations.

While the heterogeneity and co-occurrence of heritable neurodevelopmental conditions such as autism, attention deficit hyperactivity disorder (ADHD), ...

Clinically Deployable Handwriting Biomarkers of Parkinson's Disease via Multiscale Attention and Bayesian-Genetic Optimization.

INTRODUCTION: Subtle PD motor abnormalities can be underappreciated in examination but are overtly present in handwriting. Spiral, meander, and wave d...

Environmental Exposures and Neuroimaging in Children with Neurodevelopmental Disorders: A Scoping Review.

PURPOSE OF REVIEW: Neurodevelopmental disorders (NDDs) such as autism spectrum disorder (ASD) and attention-deficit/hyperactivity disorder (ADHD) have...

Quantum-logical modeling of bioinformatics of inheritance of algorithmic biostructures based on unitary operators and their cyclic groups.

The article is devoted to topical issues of genetic biomechanics, which studies structural connections between molecular-genetic informatics and inher...

Interpretable Deep Survival Analysis of Alzheimer's Disease via Metabolic Genetic Variants.

BACKGROUND: Alzheimer's disease (AD) is a progressive neurodegenerative disease. Traditional models for estimating AD onset cannot capture nonlinear i...