Autism

Stage-specific ROMO1 in rheumatoid arthritis: predictive immune insights into the MIF pathway and HLA-DR/IL2RA axis via integrated GWAS, transcriptomic, single-cell, and spatial profiling.

Emerging evidence links reactive oxygen species modulator 1 (ROMO1), a key mitochondrial ROS regulator, to rheumatoid arthritis (RA) pathogenesis. However, its exact mechanism remains elusive given the conflicting evidence about its specific function. We used a four-level integrative framework combining multi-omics data and literature‑supported mechanistic inference. At the genetic level, Mendelia...

Multi-variant GWAS and genomic prediction dissect the genetic architecture underlying tomato fruit weight.

Tomato fruit weight is primarily controlled by stable genetic effects and domestication-/improvement-associated loci, including prominent chromosome 5 signals, and integrating SNP, INDEL, and SV diversity improves candidate-locus discovery, biological interpretation, and genomic prediction across environments. Tomato fruit weight (fw) is a major breeding target shaped by domestication, crop improv...

Brain organoids, high-density MEAs, and deep learning: A new paradigm for functional neurobiomarker discovery.

Biomarker discovery, essential in neuroscience research, has traditionally been based on static molecular omics, which frequently reveal established p...

Artificial Intelligence-Driven Multi-Omics Analysis Reveals Hydroxytyrosol Targeting of the TXNIP-NLRP3 Inflammasome Axis in Traumatic Brain Injury.

Traumatic brain injury (TBI) induces secondary neuroinflammation driven by oxidative stress, inflammasome activation, and immune remodeling, yet speci...

From oxidative stress to epigenetic regulation: Molecular mechanisms of preterm brain injury and neuroprotective strategies (Review).

Preterm brain injury remains a leading cause of long‑term neurodevelopmental impairment despite advances in neonatal care. Oxidative stress (OS), aris...

From Clinic to Home: Validating the Social Communication Scale for Telemedicine-Supported Early Autism Screening in Chinese Toddlers.

Telemedicine is reshaping how early autism detection can be delivered, particularly in resource-limited settings. Yet, most existing tele-assessment t...

How Do GenAI Chatbots Communicate Fluoride Information? A Readability and Negative Framing Analysis.

INTRODUCTION: As generative artificial intelligence (GenAI) chatbots increasingly mediate online health information seeking, this study aimed to asses...

Targeting the mitochondrial functional network: Decoding upstream pathological mechanisms and novel therapeutic paradigms for Alzheimer's disease.

Alzheimer's disease (AD) is the most prevalent neurodegenerative disorder worldwide. Conventional downstream interventions targeting β-amyloid (Aβ) an...

Balanced DNA interpolation improves learning of genetic distance-informed embeddings in plants.

In taxonomic research, traditional phylogenetic tree- and structure-based analyses of genetic data are increasingly complemented by machine-learning-b...

Translational Study of Using FOCM/TS Metabolites for Supporting Autism Spectrum Disorder Diagnosis.

PURPOSE: Several clinical trial studies have shown correlations between certain physiological measurements and an ASD diagnosis. Such findings, howeve...

A Critical Synthesis of Machine Learning in Autism Spectrum Disorder Genomic Research: From Transcriptomics to Microbiome.

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by persistent impairments in social communication, restricted i...

Integrated multi-omics analyses identify an RAS-SLC11A2-associated molecular framework linking iron metabolism with PCOS-related cardiometabolic risk.

INTRODUCTION: PCOS is a common endocrine disorder with elevated cardiometabolic risk, yet the role of the renin-angiotensin system (RAS)-iron metaboli...

GeNeX: Genetic Network eXperts Framework for Addressing Validation Overfitting.

Excessive reliance on validation performance during model selection can lead to validation overfitting (VO), where models appear effective during deve...

Integrating scanning X-ray scattering and fluorescence for multi-scale analysis of seed structure supported by machine learning tools.

BACKGROUND: Understanding the structure of plant seeds cultivated for human consumption and food manufacturing is vital to provide sustainable product...

Written in the Stars: Astrocyte Biology From Evolution to Disease.

In the 21st century, neuroglial research has entered a period of Renaissance, extending the views of prominent neuroanatomists and neurologists of the...

Deep learning auto-contouring of target and organs-at-risk on post-catheter implant CT images for prostate HDR brachytherapy.

BACKGROUND: Accurate delineation of the prostate and surrounding organs-at-risk (OARs) is essential for HDR prostate brachytherapy. Manual contouring ...

Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).

Improving seed size and weight is a major breeding goal in mungbean (Vigna radiata (L.) R. Wilczek). Improved genomic resources and precision phenotyp...

[Artificial intelligence in cardiovascular prevention: a strategic opportunity for risk prediction and early diagnosis].

Cardiovascular diseases remain the leading cause of mortality and morbidity worldwide, with substantial impact in Italy. Cardiovascular prevention is ...

Heparan Sulfate Proteoglycans: Master Regulators of Cellular Signaling, Tissue Development, and Neural Function.

This narrative review examines the essential roles of heparan sulfate proteoglycans (HSPGs) in brain development, synaptic function, axonal guidance, ...

Integrating socioeconomic context with multimodal EEG data for improved ADHD risk screening.

Attention-deficit/hyperactivity disorder (ADHD) affects millions globally, yet current diagnostic approaches rely on subjective behavioral assessments...