Neurology

Autism

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

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Application of temperature replica exchange molecular dynamics: Structure of mitotic spindle-associated protein SHE1 and its binding to dynein.

Cytoskeletal motor protein dynein belongs to the AAA+ superfamily of enzymes, functioning as a mecha...

Association of [F]-FDG PET/CT-Derived Radiomic Features with Clinical Outcomes and Genomic Profiles in Patients with Chronic Lymphocytic Leukemia.

The role of PET/CT imaging in chronic lymphoproliferative syndromes (CLL) is debated. This study ex...

Combining Clinical, Genetic and Protein Markers Using Machine Learning Models Discriminates Psoriatic Arthritis Patients From Those With Psoriasis.

BACKGROUND: Psoriatic Arthritis (PsA), an immune mediated inflammatory arthritis, affects a quarter ...

Sex-Based Differences in Prenatal and Perinatal Predictors of Autism Spectrum Disorder Using Machine Learning With National Health Data.

Autism spectrum disorder (ASD) is a complex neurodevelopmental disorder influenced by genetic, epige...

VADEr: Vision Transformer-Inspired Framework for Polygenic Risk Reveals Underlying Genetic Heterogeneity in Prostate Cancer.

Polygenic risk scores (PRSs) serve as quantitative metrics of genetic liability for various conditio...

State of the Art on Inherited Retinal Dystrophies: Management and Molecular Genetics.

Inherited retinal dystrophies (IRDs) represent a group of heterogeneous disorders caused by gene mut...

Nystagmus in Clinical Practice: From Diagnosis to Treatment-A Comprehensive Review.

Nystagmus, a common yet intricate ocular movement disorder, significantly contributes to visual morb...

SFPGCL: Specificity-preserving federated population graph contrastive learning for multi-site ASD identification using rs-fMRI data.

Autism spectrum disorder (ASD) is a severe neurodevelopmental disorder that affects people's social ...

Urine Metabolomic Profiling and Machine Learning in Autism Spectrum Disorder Diagnosis: Toward Precision Treatment.

BACKGROUND: Autism spectrum disorder (ASD) diagnosis traditionally relies on behavioral assessments,...

Advances in Microbial Alkaline Proteases: Addressing Industrial Bottlenecks Through Genetic and Enzyme Engineering.

Microbial alkaline proteases are versatile enzymes chiefly employed in various industrial sectors, v...

Semen collection, semen analysis and artificial insemination in the kākāpō (Strigops habroptilus) to support its conservation.

The critically endangered kākāpō (Strigops habroptilus) has suffered population declines due to habi...

A Genetic Algorithms-Based Neural Network Model to Monitor Gibberellic Acid GA3 Fermentation Process by Fusarium fujikuroi.

A genetic algorithm-optimized neural network (ANN-GA) was developed for real-time monitoring of gibb...

Gait Characteristics Associated with Walking Speed in Postoperative Patients with Adult Spinal Deformity Extracted by Machine Learning.

PURPOSE: Patients with adult spinal deformity (ASD) are unable to walk faster even after spinal fixa...

A Review of Cross-Species Transmission Mechanisms of Influenza Viruses.

The cross-species transmission of influenza viruses represents a critical link in the pandemic of zo...

Revisiting the approaches to DNA damage detection in genetic toxicology: insights and regulatory implications.

Genetic toxicology is crucial for evaluating the potential risks of chemicals and drugs to human hea...

Invited Article: Al guided Dual Antiplatelet Therapy and Anticoagulation.

Artificial intelligence (AI) has emerged as a transformative tool in healthcare through data analysi...

Diagnosing migraine from genome-wide genotype data: a machine learning analysis.

Migraine has an assumed polygenic basis, but the genetic risk variants identified in genome-wide ass...

Novel approach for AI-based NO emission reduction in biological wastewater treatment relying on genetic algorithms and neural networks.

The potential of measurement-based control strategies for achieving lower NO emissions in biological...

AI-driven early diagnosis of specific mental disorders: a comprehensive study.

One of the areas where artificial intelligence (AI) technologies are used is the detection and diagn...

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