Neurology

Autism

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

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Massively parallel genetic perturbation suggests the energetic structure of an amyloid-β transition state.

Amyloid aggregates are pathological hallmarks of many human diseases, but how soluble proteins nucle...

Chatbot for the Return of Positive Genetic Screening Results for Hereditary Cancer Syndromes: Prompt Engineering Project.

The increasing demand for population-wide genomic screening and the limited availability of genetic ...

Machine learning is changing osteoporosis detection: an integrative review.

Machine learning drives osteoporosis detection and screening with higher clinical accuracy and acces...

A library of lineage-specific driver lines connects developing neuronal circuits to behavior in the ventral nerve cord.

Understanding developmental changes in neuronal lineages is crucial to elucidate how they assemble i...

Linking autism risk genes to morphological and pharmaceutical screening by high-content imaging: Future directions and opinion.

Next-generation sequencing has identified risk genes with large effect sizes for autism spectrum dis...

Insight into microbial extracellular vesicles as key communication materials and their clinical implications for lung cancer (Review).

The complexity of lung cancer, driven by multifactorial causes such as genetic, environmental and li...

Personalized deep neural networks reveal mechanisms of math learning disabilities in children.

Learning disabilities affect a substantial proportion of children worldwide, with far-reaching conse...

Machine learning techniques for continuous genetic assignment of geographic origin of forest trees.

Origin tracking is important to ensure use of the right seed source and trade with legally harvested...

Detecting genetic interactions with visible neural networks.

Non-linear interactions among single nucleotide polymorphisms (SNPs), genes, and pathways play an im...

Epistasis regulates genetic control of cardiac hypertrophy.

Although genetic variant effects often interact nonadditively, strategies to uncover epistasis remai...

Proteome-wide prediction of the mode of inheritance and molecular mechanisms underlying genetic diseases using structural interactomics.

Genetic diseases can be classified according to their modes of inheritance and their underlying mole...

Model parameterization of robotic systems through the bio-inspired optimization.

The accurate modeling of dynamic systems, particularly robotic ones, is crucial in the industry. It ...

Context-Aware Biosensor Design Through Biology-Guided Machine Learning and Dynamical Modeling.

Addressing the challenge of achieving a global circular bioeconomy requires efficient and robust bio...

Prime editor with rational design and AI-driven optimization for reverse editing window and enhanced fidelity.

Prime editing (PE) is a precise tool for introducing genetic mutations in eukaryotes. Extending the ...

Predicting genetic merit in Harnali sheep using machine learning techniques.

Machine learning techniques offer promising avenues for enhancing animal breeding programs by levera...

An interpretable deep learning approach for autism spectrum disorder detection in children using NASNet-mobile.

Autism spectrum disorder (ASD) is a multifaceted neurodevelopmental disorder featuring impaired soci...

ICN intrusion detection method based on GA-CNN.

The current industrial control system network is susceptible to data theft attacks such as SQL injec...

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