Neurology

Autism

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

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Disentangling the Genetic Landscape of Peripartum Depression: A Multi-Polygenic Machine Learning Approach on an Italian Sample.

BACKGROUND: The genetic determinants of peripartum depression (PPD) are not fully understood. Using ...

Deep learning-enhanced automated mitochondrial segmentation in FIB-SEM images using an entropy-weighted ensemble approach.

Mitochondria are intracellular organelles that act as powerhouses by breaking down nutrition molecul...

Identification of Taihang-chicken-specific genetic markers using genome-wide SNPs and machine learning: BREED-SPECIFIC SNPS OF TAIHANG CHICKEN.

Taihang is an indigenous breed in Hebei Province and has a long history of evolution. To uncover the...

Novel design of fractional cholesterol dynamics and drug concentrations model with analysis on machine predictive networks.

Within the intricate fabric of human physiology, cholesterol, a lipid present in cell membranes exer...

Genetic analysis of potential markers and therapeutic targets for immunity in periodontitis.

OBJECTIVE: Periodontitis is a chronic inflammatory periodontal disease resulting in destroyed period...

Detection of motor nervous disease using deep learning based Duple feature extraction network.

BackgroundA motor nervous disease (MND) is a debilitating nervous disease that affects motor neurons...

Exploring sensory alterations and repetitive behaviors in children with autism spectrum disorder from the perspective of artificial neural networks.

BACKGROUND: Restrictive repetitive behaviors (RRBs) and sensory processing disorders are core sympto...

Leveraging Bioinformatics and Machine Learning for Identifying Prognostic Biomarkers and Predicting Clinical Outcomes in Lung Adenocarcinoma.

There exist significant challenges for lung adenocarcinoma (LUAD) due to its poor prognosis and lim...

Early diagnostic value of home video-based machine learning in autism spectrum disorder: a meta-analysis.

UNLABELLED: Machine learning (ML) based on remote video has shown ideal diagnostic value in autism s...

Wearable EEG Neurofeedback Based-on Machine Learning Algorithms for Children with Autism: A Randomized, Placebo-controlled Study.

OBJECTIVE: Behavioral interventions have been shown to ameliorate the electroencephalogram (EEG) dyn...

A Parkinson's disease-related nuclei segmentation network based on CNN-Transformer interleaved encoder with feature fusion.

Automatic segmentation of Parkinson's disease (PD) related deep gray matter (DGM) nuclei based on br...

Predicting cell type-specific epigenomic profiles accounting for distal genetic effects.

Understanding how genetic variants affect the epigenome is key to interpreting GWAS, yet profiling t...

Predicting neurodevelopmental disorders using machine learning models and electronic health records - status of the field.

Machine learning (ML) is increasingly used to identify patterns that could predict neurodevelopmenta...

A deep learning model of dorsal and ventral visual streams for DVSD.

Artificial intelligence (AI) methods attempt to simulate the behavior and the neural activity of the...

Interpretation knowledge extraction for genetic testing via question-answer model.

BACKGROUND: Sequencing-based genetic testing is widely used in biomedical research, including pathog...

Height prediction of individuals with osteogenesis imperfecta by machine learning.

BACKGROUND: Osteogenesis imperfecta (OI) is a genetic disorder characterized by low bone mass, bone ...

An explainable deep learning model to predict partial anomalous pulmonary venous connection for patients with atrial septal defect.

BACKGROUND: Patients with partial anomalous pulmonary venous connection (PAPVC) usually present asym...

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