Neurology

Autism

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

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Beyond Structure: Next-Generation Electrophysiological Platforms for Functional Brain Organoids.

Brain organoids have emerged as transformative models for studying human neurodevelopment, neurologi...

Predicting ROS1 and ALK fusions in NSCLC from H&E slides with a two-step vision transformer approach.

Non-small cell lung cancer (NSCLC) is one of the deadliest and most prevalent cancers worldwide, wit...

Deep learning for property prediction of natural fiber polymer composites.

The increasing availability of diverse experimental and computational data has accelerated the appli...

DGMM: A Deep Learning-Genetic Algorithm Framework for Efficient Lead Optimization in Drug Discovery.

Lead optimization in drug discovery faces the dual challenge of maintaining structural diversity whi...

A prediction model for genetic cholestatic disease in infancy using the machine learning approach.

OBJECTIVES: Cholestasis in infancy poses a complex clinical conundrum for pediatric hepatologists, w...

Enhancing theory of mind in autism through humanoid robot interaction in a randomized controlled trial.

Autism Spectrum Disorder presents significant challenges in social cognition, particularly in unders...

Transfer learning prediction of type 2 diabetes with unpaired clinical and genetic data.

The prevalence of type 2 diabetes mellitus (T2DM) in Korea has risen in recent years, yet many cases...

Advancements in DNA methylation technologies and their application in cancer diagnosis.

DNA methylation is a common epigenetic modification that maintains the integrity of the DNA sequence...

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others...

protPheMut: An Interpretable Machine Learning Tool for Classification of Cancer and Neurodevelopmental Disorders in Human Missense Mutations.

Recent advances in human genomics have revealed that missense mutations in a single protein can lead...

Wavelet-Attention deep model for pediatric ADHD diagnosis via EEG.

Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in childr...

Advancements in lung cancer: molecular insights, innovative therapies, and future prospects.

Still among the most common and deadly cancers worldwide, lung cancer causes major morbidity and dea...

Genetic predisposition to unwanted side effects under antidepressants and antipsychotics: a molecular-genetic study of 902 patients over 6 weeks.

This project aimed at (1) detailing the complex side effect patterns of 902 inpatients treated for m...

Automated Behavioral Profiling Using Neural Networks Reveals Differences in Stress-Like Behavior Between Cave and Surface-Dwelling Astyanax mexicanus.

Behavioral stress responses allow animals to quickly adapt to local environments and are critical fo...

Single-cell image-based screens identify host regulators of Ebola virus infection dynamics.

Filoviruses such as Ebola virus (EBOV) give rise to frequent epidemics with high case fatality rates...

Bioengineering approaches to trained immunity: Physiologic targets and therapeutic strategies.

Trained immunity presents a unique target for modulating the immune response against infectious and ...

Artificial intelligence-simplified information to advance reproductive genetic literacy and health equity.

STUDY QUESTION: Can artificial intelligence (AI) and large language models (LLMs) effectively simpli...

Machine learning in Alzheimer's disease genetics.

Traditional statistical approaches have advanced our understanding of the genetics of complex diseas...

MDNCT: a multi-domain neurocognitive transformer architecture approach for early prediction of autism spectrum disorders.

Intellectual disability (ID) refers to a disorder involving intelligence and adaptive behavior that ...

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