Autism

Biomechanical analysis on neurotypical and autism spectrum disorder people during human-cobot interaction.

Biomechanical analysis is essential for assessing subjects interacting with robotic setups and platforms. However, in industrial scenarios, workers' biomechanics are assessed mainly through questionnaires and scales which provide limited objectivity. Very few studies analyzed the biomechanics of workers in multiple sessions, and no study assessed diverse populations of workers. Therefore, we colle...

Call category classification of the isolation-induced ultrasonic vocalizations emitted by BTBR TItpr3/J mouse pups exposed to different perinatal diets.

Autism spectrum disorder (ASD) is characterized by deficits in social communication and repetitive behaviors/restricted interests that may be diagnosed as early as 2 years of age. This suggests that the pathology underlying the disorder is present during early development, including gestation. This early developmental period is affected by maternal nutrition. The effects of a perinatal high fat di...

Abnormalities of brain dynamics based on large-scale cortical network modeling in autism spectrum disorder.

Synaptic increase is a common phenomenon in the brain of autism spectrum disorder (ASD). However, the impact of increased synapses on the neurophysiol...

The interaction of UBR4, LRP1, and OPHN1 in refractory epilepsy: Drosophila model to investigate the oligogenic effect on epilepsy.

Refractory epilepsy is an intractable neurological disorder that can be associated with oligogenic/polygenic etiologies. Through trio-based whole-exom...

Expanding biobank pharmacogenomics through machine learning calls of structural variation.

Biobanks linking genetic data with clinical health records provide exciting opportunities for pharmacogenomic (PGx) research on genetic variation and ...

Multi-Disease Deep Learning Framework for GWAS: Beyond Feature Selection Constraints

Traditional GWAS has advanced our understanding of complex diseases but often misses nonlinear genetic interactions. Deep learning offers new opport...

Deep learning analyses of splicing variants identify the link of PCP4 with amyotrophic lateral sclerosis.

Amyotrophic lateral sclerosis (ALS) is a severe motor neuron disease, with most sporadic cases lacking clear genetic causes. Abnormal pre-mRNA splicin...

Advancing Amorphous Solid Dispersions Design: Insights into Dissolution Kinetics via Thermodynamic Descriptor and Machine Learning.

Amorphous solid dispersions (ASD) are an effective strategy for enhancing the solubility and bioavailability of poorly soluble drugs. However, designi...

AI-driven Web Application for Early Detection of Sudden Death Syndrome (SDS) in Soybean Leaves Using Hyperspectral Images and Genetic Algorithm

Sudden Death Syndrome (SDS), caused by Fusarium virguliforme, poses a significant threat to soybean production. This study presents an AI-driven web...

Genetic Features for Drug Responses in Cancer -- Investigating an Ensemble-Feature-Selection Approach

Predicting drug responses using genetic and transcriptomic features is crucial for enhancing personalized medicine. In this study, we implemented an...

Genomic language models (gLMs) decode bacterial genomes for improved gene prediction and translation initiation site identification.

Accurate bacterial gene prediction is essential for understanding microbial functions and advancing biotechnology. Traditional methods based on sequen...

Modeling Gene Expression Distributional Shifts for Unseen Genetic Perturbations

We train a neural network to predict distributional responses in gene expression following genetic perturbations. This is an essential task in early...

Does alignment alone predict mechanical complications after adult spinal deformity surgery? A machine learning comparison of alignment, bone quality, and soft tissue.

OBJECTIVE: Mechanical complications are a vexing occurrence after adult spinal deformity (ASD) surgery. While achieving ideal spinal alignment in ASD ...

Innovations in Quail Welfare: Integrating Environmental Enrichment, Nutrition and Genetic Advances for Improved Health and Productivity.

The demand for ethical and sustainable poultry production is driving up the importance of quail welfare. Because quail meat and eggs are in high deman...

Advances in viral vector-based delivery systems for gene therapy: a comprehensive review.

Gene therapy offers a revolutionary approach for treating genetic and acquired disorders by delivering therapeutic genes to target cells. Viral vector...

Prenatal exposure to criteria air pollution and traffic-related air toxics and risk of autism spectrum disorder: A population-based cohort study of California births (1990-2018).

BACKGROUND: Autism spectrum disorder (ASD) prevalence has risen steadily in California (CA) over several decades, with environmental factors like air ...

Precision medicine applications in dilated cardiomyopathy: Advancing personalized care.

Dilated cardiomyopathy (DCM) is a prevalent cardiac disorder affecting 1 in 250-500 individuals, characterized by ventricular dilation and impaired sy...

Artificial intelligence in autism spectrum disorder: A path to early detection and improved outcomes.

A novel Harris Hawks Optimization-based clustering method for elucidating genetic associations in osteoarthritis and Diverse Cancer Types.

Considering the high incidence of osteoarthritis (OA), especially of the knee and hip, this study explores the possible genetic associations between O...

Self-training EEG discrimination model with weakly supervised sample construction: An age-based perspective on ASD evaluation.

Deep learning for Electroencephalography (EEG) has become dominant in the tasks of discrimination and evaluation of brain disorders. However, despite ...