Autism

Cluster-defined gout subtypes exhibit divergent chronic kidney disease trajectories: a machine learning approach in a Chinese prospective cohort.

OBJECTIVE: To systematically evaluate the contribution of clinical heterogeneity to chronic kidney disease (CKD) progression in gout patients using data-driven phenotyping, and to assess whether incorporating genetic risk improves prediction of renal outcomes. METHODS: In this prospective cohort study, 1,497 Chinese gout patients were enrolled and followed for CKD progression. K-means clustering w...

CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer's disease: a state-of-the-art review.

Alzheimer's disease (AD) is a progressive and multifactorial neurodegenerative disorder and the leading cause of dementia worldwide, characterized by extracellular amyloid-β (Aβ) plaque deposition, intracellular neurofibrillary tangles composed of hyperphosphorylated tau, synaptic loss, mitochondrial dysfunction, oxidative stress, and chronic neuroinflammation. Despite major advances in understand...

Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning.

The quick expansions of e-commerce have increased competition, made client retention and repurchased predictions vital for sustainable corporate succe...

Automatic lateral ventricle and choroid plexus segmentation method in infant brain MR images.

INTRODUCTION: Accurate segmentation of the lateral ventricles (LV) and choroid plexus (CP) in infant brain MRI is essential for understanding cerebros...

Chromosome-scale assembly of the elite Coptis chinensis cultivar 'Chulian No. 1' and decoding of fine clonal variations using geospatial-genomic machine learning to facilitate medicinal plant breeding.

Genetic homogenization due to chronic clonal propagation poses a notable challenge to the sustainable utilization of Coptis chinensis Franch. We devel...

Precision Grounding: augmenting large language models with evidence-based databases for trustworthy genetic variant summarization.

PURPOSE: To propose a novel method that augments LLMs with evidence-based, variant-specific information to improve summarization accuracy and support ...

Detecting positive selection by modeling structure within images of genetic variation.

A major challenge in population genomics is accurately identifying and characterizing natural selection from genomic data. The wide availability of de...

Cardiology at the Threshold of a New Biological Era: The Role of Multiomics and Metabolomics.

Modern cardiology is entering a phase where improving the prevention, diagnosis, and treatment of cardiovascular diseases (CVD) necessitates a deeper ...

Transcriptional signatures and topological reorganization of morphometric similarity networks in temporal lobe epilepsy with unilateral hippocampal sclerosis.

OBJECTIVE: To delineate morphometric similarity network (MSN) topological abnormalities and their underlying spatial transcriptomics in the normal-app...

Sonogenetics for Precision Medicine: A Focus on Immunoengineering and Genome Engineering.

Ultrasound can penetrate centimetres of soft tissue, focus energy with millimetre precision, and operate safely under real-time image guidance. Levera...

Energy-Efficient EEG-Based Autism Spectrum Disorder Detection Using a Hyperbolic Attention Neural Network.

Long-term physiological monitoring using wearable wireless systems represents a paradigm change in next-generation e-health applications. Specifically...

Automated Detection and Risk-Related Behavior Recognition of Long-Tailed Macaques in a University Campus Area Using CNN-Based Object Detection.

BACKGROUND: Increasing interface zones between long-tailed macaques (Macaca fascicularis) and humans can increase macaques' risk-related behaviors to ...

Impact of Robotic Assisted Treadmill Gait Training on Walking Performance in Children With Spastic Diplegic Cerebral Palsy: A Randomized Controlled Study.

BACKGROUND AND PURPOSE: Children diagnosed with diplegic cerebral palsy frequently experience gait difficulties that can significantly affect their in...

A Multimodal AI Framework for Early Autism Identification Using CbRNN-Ensemble Modelling and Advanced NCIAPPF-Based Temporal Encoding.

To improve child developmental results and enable prompt interventions, early identification of autism spectrum disorder (ASD) is crucial. Conventiona...

A Robust Computational Framework for Autism Spectrum Disorder Identification Using Optimized Image Processing and Hybrid Learning Models.

The classification of autism spectrum disorder (ASD) has reached a new stage of development that includes the former machine learning (ML) designs and...

Multi-Omics Analysis for Identifying Glial Dysfunction-Associated Genes as Therapeutic Targets and Drug Candidates in Alzheimer's Disease.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder characterized by cognitive decline, amyloid-β plaques, and neurofibrillary tangle...

Closing the Gap in Autism Genetics: Population-Specific Variants and the Imperative for Global Inclusion.

Autism spectrum disorder (ASD) is a highly heritable neurodevelopmental condition with an exceptionally complex and heterogeneous genetic architecture...

Polygenic and polysocial risk scores in post-type 2 diabetes dementia: Risk stratification and predictive modeling in the UK Biobank cohort.

BackgroundDementia is a common complication of type 2 diabetes mellitus (T2DM), influenced by both genetic susceptibility and social disadvantages. Wh...

Ultrasensitive electrochemical detection of clinically relevant genetic mutations via nanoparticle surface localized amplification and machine learning.

Genetic mutation detection is crucial for early disease diagnosis, prognosis assessment, and the implementation of precision medicine, as it enables t...

Scratcher: An automated machine-vision tool for dissecting the neural basis of itch.

Itch or pruritus invokes a specific reflexive and repetitive directed nocifensive behavioural response, known as scratching. Recent decades have revea...