Autism

Transdiagnostic monoamine-based subtyping for attention-deficit/hyperactivity disorder and autism spectrum disorder via unsupervised machine learning.

Neuroimaging and molecular studies have examined the etiology of attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). However, their findings remain inconsistent because of within-disorder heterogeneity and cross-disorder phenotypic overlap. We sought to identify monoamine-based subtypes across ADHD and ASD and clarify their brain structural characteristics. In 83 ch...

MULTIPREVENT: Integrated screening for smoking-related multimorbidity using low-dose chest computed tomography.

OBJECTIVES: Tobacco consumption, combined with individual genetic predispositions, contributes to an age-dependent risk not only for lung cancer but also for other non-communicable diseases (NCDs) such as cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), osteoporosis, and diabetes. The MULTIPREVENT project aims to validate whether low-dose computed tomography (LDCT) of th...

Genetically predicted breastfeeding propensity and brain microstructural morphology: Insights from genome-wide association study summary statistics and neurogenomics.

BACKGROUND: Breastfeeding provides nutrients and bioactive components relevant to infant development, but observational associations with brain outcom...

Systems-level genomic analyses reveal shared mechanisms underlying endometriosis and sleep disorders.

We examined clinical, genetic, and molecular links between sleep disorders and endometriosis. Women aged 20-54 years in NHANES 2005-2006 were analyzed...

A Framework for Predicting Neurofeedback Treatment Response in ADHD Using EEG Functional Connectivity and Genetic Algorithm-Driven Channel Selection.

In this article, we present a computational framework for predicting treatment response to neurofeedback (NF) among patients with Attention-Deficit/Hy...

UniPert-G2CP bridges genetic and chemical screens from molecular representation to phenotype modeling.

Systematically simulating and predicting phenotypic effects of diverse interventions across heterogeneous cellular environments is central to the visi...

Structure-function coupling abnormalities in adolescent obsessive-compulsive disorder and their molecular correlates.

BACKGROUND: Obsessive-compulsive disorder (OCD) frequently emerges during adolescence, a critical period of brain network maturation. Although altered...

AI-based clinician decision support system for diagnosis of inherited retinal diseases: a multicenter, randomized trial.

The accurate and timely diagnosis of inherited retinal diseases (IRDs) represents an unmet clinical need in ophthalmology, as the current pathways rel...

Integrated Genome-Wide Association Study and Machine Learning Approach for Characterizing the Determinants of Biofilm Formation in Staphylococcus aureus.

Staphylococcus aureus (S. aureus) is a well-recognized pathogen known for its multi-drug resistance and diverse virulence mechanisms. Its ability to g...

Understanding end-user contexts and identifying design preferences of an artificial intelligence-based clinical decision support tool for early autism detection.

OBJECTIVES: Building on innovations for autism detection-where artificial intelligence (AI)-based models monitor clinical data within electronic healt...

Zebrafish as a versatile model in biomedical research, from disease modeling to regenerative medicine: a review.

Zebrafish are an effective animal model widely utilized in biomedical research. They are known for their rapid reproduction and substantial genetic si...

Large Language Model Few-Shot Learning for Predicting Individual Treatment Response to Smartphone-Based Mindfulness in Autistic Adults With Anxiety: Secondary Analysis of a Randomized Controlled Trial.

BACKGROUND: Anxiety disorders are highly prevalent among adults with autism, with 20%-65% experiencing at least one diagnosable anxiety disorder. Whil...

Transforming blood-derived episignatures into cell-type-agnostic classifiers: A shortcut to prenatal episignatures.

DNA methylation (DNAm) episignatures are stable disorder-specific epigenetic patterns that serve as valuable biomarkers for assessing variant pathogen...

Human genetics across levels of biological organization.

Genetic variation influences human physiology across biological scales from molecules to cells, tissues, organs and the whole organism. Unravelling ho...

Graft incompatibility in fruit trees in early detection: integrating physiological, molecular, and technological approaches.

This review highlights that integrating physiological, molecular, imaging, and AI-based approaches enables early and reliable detection of graft incom...

Evolution of swine influenza surveillance and one health governance in Taiwan: from zoonotic risk management to integrated preparedness.

Influenza A viruses (IAVs) remain a persistent global threat because of rapid antigenic change, frequent genetic reassortment, and cross-species trans...

Comprehensive Characterization of Clinical Phenotypes and CTG Repeat-Associated Manifestations in Spinocerebellar Ataxia Type 8.

Spinocerebellar ataxia type 8 (SCA8) is traditionally characterized as a cerebellar syndrome, yet emerging evidence suggests significant phenotypic he...

Preconception, prenatal and postnatal exposure to gaseous air pollutants (NO2, O3) and neurodevelopmental disorders in children among Medicaid recipients: a national cohort study.

Although numerous etiological factors have been proposed for neurodevelopmental disorders, the contribution of environmental exposures remains insuffi...

From Variant Interpretation to Biomarker Translation: Multi-omics Integration in Inherited Neuromuscular Diseases.

Genetic neuromuscular diseases are highly heterogeneous disorders characterized by diagnostic challenges and limited therapeutic options, underscoring...

Neural network-enhanced investigation of ferroptosis and druggability in early-onset alzheimer's disease.

Alzheimer's disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. Some of its characteristics are slow cognitive dec...