Autism

Pseudohypoxia and Family History Are Key Predictors of Severe Outcomes in Hereditary Pheochromocytoma and Paraganglioma Syndromes.

OBJECTIVE: Pheochromocytoma and paraganglioma (PPGL) have high genetic predisposition rates. In this multicenter study, we aimed to identify risk-modulating factors for disease development and aggressiveness in patients carrying pathogenic variants (PPGLgPV) related to PPGL genes. METHODS: Observational prospective study including patients with PPGL, family history of PPGL or suspected PPGL-relate...

ADBrainNet: a deep neural network for Autism Spectrum Disorder (ASD) and Attention Deficit and Hyperactivity Disorder (ADHD) classification using resting-state fMRI images based on explainable artificial intelligence.

Autism Spectrum Disorder (ASD) and Attention Deficit and Hyperactivity Disorder (ADHD) are two psychiatric disorders frequently encountered in children. ADHD is further categorized into three subtypes. The diagnostic processes for these conditions are complex and often prone to misclassification. We proposed a lightweight deep neural network, ADBrainNet, to differentiate ASD, ADHD combined, ADHD h...

Maternal Gut Microbiome as a Predictor of Insulin Therapy Requirement in Gestational Diabetes.

BACKGROUND: Gestational diabetes mellitus (GDM) often requires pharmacological intervention beyond lifestyle modification to achieve optimal glycemic ...

Artificial Intelligence-Enhanced Optimization of Wireless Breath Sensor Arrays for Detection of Lung Cancer Using Fuzzy Logic-Guided Genetic Algorithm and Multimodal Machine Learning.

Early detection of lung cancer remains critical for improving patient survival, yet current imaging-based screening methods are costly, invasive, and ...

Cell-free chromatin state tracing reveals disease origin and therapy responses.

Cell-free DNA in blood originates from fragmented chromatin released by dying cells from both healthy and diseased tissues1,2. These fragments carry r...

RNA therapeutics 2.0: Expanding the landscape from mRNA vaccines to splicing modulators and beyond.

RNA therapeutics have progressed into a disruptive drug class quickly, replacing a variety of primary experimental agents which included vaccines, ant...

The cerebro-cerebellar system: Integrative roles in motor control, cognition, and neuropsychiatric disorders.

The cerebro-cerebellar system, a network of bidirectional loops between the cerebellum and cerebral cortex, is crucial for coordinating motor control,...

Increased risk of neurodevelopmental impairment associated with reduced brain volume at term-equivalent age in preterm infants with germinal matrix hemorrhage.

Elucidating biopsychosocial mechanisms in migraine: an integrative analytics approach combining genetics, neuroimaging, and machine learning.

BACKGROUND: Migraine is a complex and disabling neurological disorder shaped by the interplay of biological, psychological, and behavioral factors. Cu...

JAX Animal Behavior System (JABS), a genetics-informed, end-to-end advanced behavioral phenotyping platform for the laboratory mouse.

Automated detection of complex animal behavior remains a challenge in neuroscience. Developments in computer vision have greatly advanced automated be...

Joint attention in autism: A narrative review of assessment techniques from behavioral observation to artificial intelligence.

Joint attention (JA), the shared focus between two individuals on an object or event, plays a pivotal role in social communication, cognitive developm...

A Comprehensive Review of Wooden Breast Myopathy in Broilers: Impacts, Detection, Processing, and Future Perspectives.

Wooden breast (WB) myopathy is a major muscle disorder in fast-growing broilers, affecting the entire poultry production chain and causing substantial...

[Cerebral neuromodulation in neurodevelopmental disorders].

Neurodevelopmental disorders comprise a heterogeneous group of conditions characterized by earlyonset impairments in cognitive, behavioral, emotional,...

Artificial intelligence robots for mental health applications: a scoping review.

BACKGROUND: The contradiction between the surging demand for mental health services and the shortage of professional resources is becoming increasingl...

Regulatory roles of microRNAs in epigenetic and immune gene networks in psoriasis.

Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferation, impaired differentiation, and sustained inflam...

Gene Specific Pathogenicity Predictor for Chromatin Remodeling BAF Complex-Associated Neurodevelopmental Disorders.

Advancements in whole genome sequencing have increased the number of variants of uncertain significance (VUS) identified in human genomes. This has cr...

Machine learning algorithm reveals neurodevelopmental signatures of combined family income and neighborhood disadvantage in adolescents.

Socioeconomic status (SES) has been linked to brain-based markers, but most studies rely on conventional statistical methods that overlook the complex...

Integration of AI and Neuroscience: New Methods in Studying the Causes of Mental Disorders.

ObjectiveThis review sought to systematize knowledge about the use of artificial intelligence in neurobiological research of mental disorders and asse...

Genetic basis of immune-mediated necrotizing myopathy: A genomic structural equation modeling and AI-driven structural analysis.

BACKGROUND: Immune-mediated necrotizing myopathy (IMNM) constitutes an autoimmune myopathy precipitated by autoantibodies, marked by rapid progression...

DNAwhisper: An Integrated Deep Learning Pyramidal Framework for Multi-Trait Genomic Prediction and Adaptive Marker Prioritisation.

Genomic selection (GS) is critical for accelerating genetic gain in modern plant breeding. Deep learning approaches offer powerful non-linear represen...