Neurology

Autism

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

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Integrating Knowledge: The Power of Ontologies in Psychiatric Research and Clinical Informatics.

Ontologies are structured frameworks for representing knowledge by systematically defining concepts,...

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...

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...

Algorithmic Fairness in Machine Learning Prediction of Autism Using Electronic Health Records.

Efforts to improve early diagnosis of autism spectrum disorder (ASD) in children are beginning to us...

Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning.

Interpreting and subtyping type 2 diabetes (T2D) is challenging yet essential for achieving fine-gra...

A Framework for Extracting, and Validating Named-Entities to Integrate Openehr Using the Example of Free Text Molecular Genetic Findings.

Processing and extracting information from unstructured texts written by physicians in Hospitals is ...

Correction to "Understanding the nature of face processing in early autism: A prospective study" by Tye et al. (2022).

Reports an error in "Understanding the nature of face processing in early autism: A prospective stud...

An Explainable Connectome Convolutional Transformer for Multimodal Autism Spectrum Disorder Classification.

The diagnosis of autism spectrum disorder (ASD) is often hampered by its heterogeneity and reliance ...

[Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].

The use of artificial intelligence (AI) in pediatric and adolescent medicine offers numerous possibi...

Optimizing Plant Alkaloid Biosynthesis under Drought Stress: Regulatory Mechanisms and Biotechnological Strategies.

Global climate change exacerbates drought stress, severely affecting plant growth, agricultural prod...

Comprehensive duck DNA fingerprinting based on machine learning for breed identification.

Duck is one of the most widely distributed waterfowl in the world, with more than 6 billion of them ...

A solution to the postantibiotic era: phages as precision medicine.

Antibiotic-resistant bacterial infections pose a significant global health challenge. Phage therapy ...

Towards precision medicine in antiphospholipid syndrome.

Antiphospholipid syndrome is a rare systemic autoimmune disorder with complex pathophysiology and hi...

Genetic Risk Scores in Stroke Research and Care.

Stroke remains a leading cause of death and disability worldwide. While well-established risk factor...

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/p...

A critical review on the welfare of Japanese quail in cage-free housing: Current knowledge and future perspectives.

The Japanese quail (Coturnix japonica) is an increasingly popular species in poultry production. Con...

Expanding biobank pharmacogenomics through machine learning calls of structural variation.

Biobanks linking genetic data with clinical health records provide exciting opportunities for pharma...

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 bioavai...

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 lacki...

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 ...

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