Autism

Individual differences in effects of stressful life events on childhood ADHD: genetic, neural, and familial contributions.

BACKGROUND: This study elucidates the intricate relationship between stressful life events and the development of ADHD symptoms in children, acknowledging the considerable variability in individual responses. By examining these differences, we aim to uncover the unique combinations of factors contributing to varying levels of vulnerability and resilience among children. METHODS: Utilizing longitud...

Zoonoticus: A machine learning model for genomic prediction of zoonotic bacterial strains using virulence, resistance, and mobile genetic elements.

Zoonotic diseases continue to rise globally, yet no existing genomic tool integrates virulence, antimicrobial resistance (AMR), and mobile genetic elements to predict zoonotic potential. Here, we present Zoonoticus, a machine learning-based model that classifies bacterial strains as zoonotic or non-zoonotic using whole-genome data. The model was developed using a curated reference database of 37,2...

A functional system-informed graph neural network framework to quantify interpretable brain dysfunction in ASD.

Autism Spectrum Disorder (ASD) is one of the most common neurodevelopmental disorders affecting patients from childhood to adulthood. Yet, its patholo...

Triplet longitudinal masked autoencoder for predicting individualized functional connectome development during infancy.

Brain functional connectivity (FC) constructed from resting-state functional MRI (rs-fMRI) is the predominant method for studying brain functional org...

Takotsubo cardiomyopathy: Advances in pathophysiology, diagnostic biomarkers, genetic insights, multisystemic involvement, treatment updates & multidisciplinary interventions.

BACKGROUND: Takotsubo cardiomyopathy (TTC) is an acute, reversible cardiac syndrome triggered by physical or emotional stress, involving complex multi...

Unraveling the shared genetic architecture of osteoarthritis and metabolic traits through multi-omics insights.

OBJECTIVE: Osteoarthritis (OA) often coexists with metabolic traits (MTs), causing significant disability. Our study aims to uncover the shared geneti...

Engineering genetic elements for microbial protein expression systems: Advances, challenges, applications, and prospects.

The rising global demand for sustainable protein sources poses critical challenges across food, pharmaceutical, and industrial biotechnology sectors. ...

AI as a Novel Digital Stressor in Adolescent Psychosis: Clinical and Ethical Implications.

ObjectiveWith the rapid adoption of artificial intelligence (AI) technologies by adolescents, the impact on their mental health is of critical concern...

Machine Learning to Detect Vocal Stereotypy: Improving Duration-Based Measures.

Direct observation is a process central to behavior science, but its implementation may be challenging in some contexts (e.g., classrooms, homes). One...

Accelerometer-measured intensity-specific physical activity, genetic susceptibility, and back pain risk: a UK Biobank cohort study.

BACKGROUND CONTEXT: Current clinical guidelines lack clear, quantitative recommendations on intensity-specific physical activity (PA) levels for preve...

Cingulate atrophy as a shared structural basis for cognitive and functional brain impairments in GAD, PD, and OCD: Links to shared gene expression and treatment implications.

BACKGROUND: Structural brain deficits associated with generalized anxiety disorder (GAD), panic disorder (PD), and obsessive-compulsive disorder (OCD)...

Radiomics-powered radiographic image analysis for enhanced mechanical complications prediction and surgical planning in adult spine deformity.

BACKGROUND CONTEXT: Radiomics, a technique employing machine learning (ML) to extract quantitative features from processed radiographic images, holds ...

Precision Nutritional Genomics, Gut Microbiota and Artificial Intelligence in Chronic Kidney Disease.

Chronic kidney disease (CKD) is a prevalent global health issue, and nutritional management of CKD is an integral component through all stages of the ...

Public Preferences for Emerging Cancer Screening Modalities: A Systematic Review of Discrete Choice Experiments.

BACKGROUND: Early detection of cancer reduces mortality and morbidity, but conventional screening methods often face challenges such as invasiveness, ...

A Datasheet for Age-Related Eye Disease Study 2 on the Database of Genotypes and Phenotypes.

OBJECTIVE: To provide a comprehensive summary of the controlled-access Age-Related Eye Disease Study 2 (AREDS2) data elements, encompassing phenotypic...

Probiotics, psychobiotics, and postbiotics: a therapeutic modality for the management of schizophrenia.

Schizophrenia is a debilitating, chronic neuropsychiatric disorder, a multifactorial disorder combining genetic, neurodevelopmental, immunological, an...

Honey bee nutritranscriptomics reveals key insights towards precision nutrition.

INTRODUCTION: Honey bees are essential managed pollinators faced by nutritional deficiencies which contributes to worldwide colony losses. The integra...

Causal Transformer for Learning Embeddings from Structured Medical History Records and Multi-Source Data Integration for Complex Disease Risk Prediction.

Traditional disease risk prediction models predominantly rely on statistical algorithms and often focus on genetic factors or a limited set of lifesty...

Longitudinal multi-omics analysis of umbilical cord blood and childhood serum in Autism.

There is considerable evidence implicating maternal immune activation (MIA) and cytokine dysregulation in the pathophysiology of Autism. However, cyto...

Dysmorphic neurons express markers of inhibitory glycinergic signaling in focal cortical dysplasia IIb.

Focal cortical dysplasia (FCD) is a neurodevelopmental malformation that often manifests as medically refractory epilepsy. A key histological hallmark...