Neurology

Autism

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

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Molecular Optimization Based on a Monte Carlo Tree Search and Multiobjective Genetic Algorithm.

In the realm of medicinal chemistry, the predominant challenge in molecular design lies in managing ...

Performance of deep-learning-based approaches to improve polygenic scores.

Polygenic scores, which estimate an individual's genetic propensity for a disease or trait, have the...

Inverse Neural Network Approach for Optimizing Chemical Composition in Shielded Metal Arc Weld Metals.

This study presents a hybrid machine learning framework combining an artificial neural network and a...

Attention-driven deep learning framework for EEG analysis in ADHD detection.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that affects cognit...

Anoikis in hepatocellular carcinoma: genetic alterations and immune microenvironment insights from single-cell and computational analysis.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by high heterogeneity, and its molecular...

Pisces: A multi-modal data augmentation approach for drug combination synergy prediction.

Drug combination therapy is promising for cancer treatment by reducing resistance and improving effi...

Breaking barriers in rare disease research: The RARE-X Open Science Data Challenge as a model for collaborative innovation and community partnership.

Trzupek et al. describe a rare disease Open Science Data Challenge, using data collected systematica...

Early diagnosis of autism across developmental stages through scalable and interpretable ensemble model.

Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition that challenges early ...

Neuron-Inspired Ferroelectric Bioelectronics for Adaptive Biointerfacing.

Implantable bioelectronics, which are essential to neuroscience studies, neurological disorder treat...

Bioinformatics prediction of function of T-cell exhaustion related genes in ischemic stroke.

Ischemic stroke (IS) is a multifactorial disease caused by the interaction of a variety of environme...

Brugada syndrome.

Brugada syndrome (BrS) is a cardiac channelopathy associated with an elevated risk of arrhythmias an...

Ecofriendly Extraction of Polyphenols from Leaves Coupled with Response Surface Methodology and Artificial Neural Network-Genetic Algorithm.

This study aimed to optimize a novel deep eutectic solvents (DESs)-assisted extraction process for p...

Exploring the genetic characteristics of overweight-related osteoarthritis using machine learning.

This investigation employed a synergistic approach integrating bioinformatics and machine learning m...

Genomic advancements in goat breeding: enhancing productivity, disease resistance, and sustainability in India's rural economy.

Goats are vital to the rural economy of India, contributing significantly to livelihoods, nutrition,...

Multiscale Organization of Neural Networks in a 3D Bioprinted Matrix.

The efficient establishment of in vitro neural models that accurately mimic the structural and funct...

Development and Validation of Machine Learning-Based Marker for Early Detection and Prognosis Stratification of Nonalcoholic Fatty Liver Disease.

Nonalcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease and is consid...

Modeling Brain Aging with Explainable Triamese ViT: Towards Deeper Insights into Autism Disorder.

Machine learning, particularly through advanced imaging techniques such as three-dimensional Magneti...

Hypertension precision medicine: the promise and pitfalls of pharmacogenomics.

Pharmacogenomics (PGx) has the potential to revolutionize hypertension management by tailoring antih...

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