Autism

Decoding fetal motion in 4D ultrasound with DeepLabCut.

PURPOSE: This study aimed to objectively and quantitatively analyze fetal motor behavior using DeepL...

Pharmacovigilance in Cell and Gene Therapy: Evolving Challenges in Risk Management and Long-Term Follow-Up.

Cell and gene therapies, including CAR T-cells, CRISPR-based genome editing, and next-generation vir...

Non-coding genetic elements of lung cancer identified using whole genome sequencing in 13,722 Chinese.

A substantial portion of lung cancer-associated genetic elements in East Asian populations remains u...

Variational Autoencoder-based Model Improves Polygenic Prediction in Blood Cell Traits.

Genetic prediction of complex traits, enabled by large-scale genomic studies, has created new measur...

Whole genome resequencing reveals genetic diversity, population structure, and selection signatures in local duck breeds.

BACKGROUND: Shandong's local duck breeds are renowned for their outstanding egg-laying performance a...

Unravelling the genetic complexity of drug-resistant epilepsy: a critical narrative review.

INTRODUCTION: Drug-resistant epilepsy (DRE) affects 30% of epilepsy patients and represents a major ...

Clinical Application of Machine Learning in Biomedical Engineering for the Early Detection of Neurological Disorders.

Machine learning is increasingly recognized as a transformative tool in the diagnosis and prognosis ...

Determination of high-confidence germline genetic variants in next-generation sequencing through machine learning models: an approach to reduce the burden of orthogonal confirmation.

Toward a fair, gender-debiased classifier for the diagnosis of attention deficit/hyperactivity disorder- a Machine-Learning based classification study.

BACKGROUND: Attention deficit/hyperactivity disorder (ADHD) is the most common neurodevelopmental di...

Machine learning models highlight environmental and genetic factors associated with the Arabidopsis circadian clock.

The circadian clock of plants contributes to their survival and fitness. However, understanding cloc...

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates ...

Subsecond Analysis of Locomotor Activity in Parkinsonian Mice.

The degeneration of midbrain dopamine (DA) neurons disrupts the neural control of natural behavior, ...

varCADD: large sets of standing genetic variation enable genome-wide pathogenicity prediction.

BACKGROUND: Machine learning and artificial intelligence are increasingly being applied to identify ...

Impaired sensory-motor integration in children with attention-deficit/hyperactivity disorder during visual search.

OBJECTIVE: Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder i...

Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future.

Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundament...

Phage and enzyme therapies in wound infections: From lab to bedside.

Antibiotic-resistant (AR) bacterial wound infections (WIs) impose major burdens on healthcare system...

Neoantigen-driven personalized tumor therapy: An update from discovery to clinical application.

Neoantigens exhibit high immunogenic potential and confer a uniqueness to tumor cells, making them i...

Interpretable bioinformatics approaches for pheochromocytoma bioactivity and protein interaction analysis.

Pheochromocytoma (PCC) is a rare neuroendocrine tumor driven by complex molecular mechanisms, notabl...

Neurogenetic biomarkers in epilepsy: A comprehensive narrative review of progression and therapeutic approaches.

Epilepsy is a multifaceted and heterogenous neurological disorder that affects an estimated 70 milli...

Personalizing cancer therapy: the role of pharmacogenetics in overcoming drug resistance and toxicity.

Cancer pharmacogenetics has become a cornerstone of precision oncology. It offers the potential to o...

Novel risk factors and personalized risk calculator for predicting proximal junctional kyphosis after adult spinal deformity surgery.

AIMS: Proximal junctional kyphosis (PJK) is a prevalent and detrimental complication associated with...