Neurology

Autism

Latest AI and machine learning research in autism for healthcare professionals.

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Sequencing validates deep learning models for EHR-based detection of Noonan syndrome in pediatric patients.

Despite advanced diagnostic tools, early detection of rare genetic conditions like Noonan syndrome (...

Genetic and molecular underpinnings of the link between rheumatoid arthritis and myasthenia gravis: Insights from GWAS and transcriptomic analyses.

BACKGROUND: Although studies have shown that patients with rheumatoid arthritis (RA) are at a higher...

Risk assessment and interventions for malignant ground-glass lung nodules.

Pulmonary ground-glass nodules (GGNs) have become a major problem owing to their high frequency, lim...

Teachers' technology acceptance of language skills applications use for children with autism spectrum disorders.

PURPOSE: Digital technology fosters great opportunities to care children with autism spectrum disord...

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

The systematic literature review was performed on the use of artificial intelligence (AI) algorithms...

DNA sequence classification for diabetes mellitus using NuSVC and XGBoost: A comparative.

Diabetes Mellitus is a global health concern, characterized by high blood sugar levels over a prolon...

Transformer-based structural connectivity networks for ADHD-related connectivity alterations.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a common neurodevelopmental disorder ...

Challenges and Opportunities in the Application of CRISPR-Cas9: A Review on Genomic Editing and Therapeutic Potentials.

Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and the CRISPR-associated protein...

Hybrid genetic algorithm and deep learning techniques for advanced side-channel attacks.

In recent years, deep learning-based profiling methods have significantly advanced side-channel anal...

APOE ε4 carriers share immune-related proteomic changes across neurodegenerative diseases.

The APOE ε4 genetic variant is the strongest genetic risk factor for late-onset Alzheimer's disease ...

Vision transformer and complex network analysis for autism spectrum disorder classification in T1 structural MRI.

BACKGROUND: Autism spectrum disorder (ASD) affects social interaction, communication, and behavior. ...

The evolution of prenatal Whole Exome Sequencing: from cytogenetics to precision medicine.

Prenatal genetic diagnostics have undergone a remarkable transformation, progressing from early cyto...

Characterizing aging-related genetic and physiological determinants of spinal curvature.

BACKGROUND: Increased spinal curvature is one of the most recognizable aging traits in the human pop...

Evaluating the Accuracy and Readability of ChatGPT in Addressing Patient Queries on Adult Spinal Deformity Surgery.

Study DesignCross-Sectional.ObjectivesAdult spinal deformity (ASD) affects 68% of the elderly, with ...

Sustainable analysis of COVID-19 Co-packaged paxlovid: exploring advanced sampling techniques and multivariate processing tools.

The drawbacks of random sampling not only hinder the development of more reliable and efficient meth...

Deep ensemble learning with transformer models for enhanced Alzheimer's disease detection.

The progression of Alzheimer's disease is relentless, leading to a worsening of mental faculties ove...

Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes.

Polygenic risk scores (PRSs), which sum the effects of SNPs throughout the genome to measure risk af...

OMT and tensor SVD-based deep learning model for segmentation and predicting genetic markers of glioma: A multicenter study.

Glioma is the most common primary malignant brain tumor and preoperative genetic profiling is essent...

Insights into the Diagnosis, Treatment, and Management of Prion Diseases.

The normal cellular prion protein (PrPC) can misfold into an infectious and pathogenic form (PrPSc) ...

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.

Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) r...

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