Neurology

Autism

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

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Showing 1954-1974 of 9,821 articles
Biophysical validation of explainable AI for functional brain imaging: bridging cellular mechanisms and network dynamics

Deep neural networks have revolutionized functional neuroimaging analysis but remain “black boxes,” ...

PertAdapt: Unlocking Single-Cell Foundation Models for Genetic Perturbation Prediction via Condition-Sensitive Adaptation

Single-cell foundation models (FMs) pretrained on massive unlabeled scRNA-seq data show strong poten...

Adapting CRISPR-associated transposons for rapid and high-throughput reverse genetics

CRISPR-associated transposons (CAST) use guide RNAs to direct their transposition and are being harn...

A Neurodevelopment-Inspired Deep Spiking Neural Network for Auditory Spatial Attention Detection using Single Trial EEG

This study presents a deep probabilistic spiking neural network designed to extract discriminative s...

BiosInt: Biosensor-based smart design of pathway dynamic regulation for industrial biomanufacturing

Industrial-scale production of bio-based chemicals in the circular green bioeconomy still faces inef...

Recurrent neural network models reveal unified mechanisms generating event-related potentials from MMN to P300

The brain’s ability to detect behaviorally relevant stimuli from sensory inputs is fundamental to co...

Multivariate environmental exposures are reflected in whole-brain functional connectivity and cognition in youth

Each individual’s complex, multidimensional environment, known as their “exposome”, plays an essenti...

Machine Learning Identifies Common Risk Variants and Implicates Abnormal Vision Physiology in ASD

Genomic technology advancements have facilitated associations between genetic variants and disease r...

Identity Domains Reveal How Life Experiences and the Microbiome Shape Individuality and Uncover the Presence of Social Memory in Drosophila

Personality is comprised of enduring traits that shape behavior across contexts and over time. Yet o...

Deep Learning links TP53 genotype to expression-defined transcriptional program in Acute Myeloid Leukemia

Acute myeloid leukemia (AML) is a hematological cancer characterized by genetic diversity and poor c...

TP53 and RB1 are predictive genetic biomarkers for sensitivity to cytarabine in gliomas

Therapeutic progress in glioma, one of the most lethal human cancers, has been limited by molecular ...

Prebiotically Plausible Peptides can Self-assemble into β-rich Nanostructures

Modern proteins are remarkable polymers built from a 20-amino-acid alphabet, shaped by billions of y...

Rubisco is slow across the tree of life

Rubisco is the main gateway through which inorganic carbon enters the biosphere, catalyzing the vast...

Trainable computation in molecular networks

Reports of learning in single cells without genetic change span decades yet remain controver-sial, i...

Flexible brain state engagement predicts cognitive control transdiagnostically

Cognitive control supports adaptive responses in an ever-changing world. While alterations in cognit...

Integrative metabolome-genome analysis reveals the genetic architecture of metabolic diversity in sorghum grain

Cereal grains are fundamental to global food security and bioenergy production, yet the genetic and ...

Design principles of neuromorphic computing using genetic circuits

Cells have evolved to sense a wide range of input combinations and integrate those signals through s...

Social isolation upregulates takeout expression in female Drosophila melanogaster to promote sucrose feeding

Drosophila melanogaster provides a model system to examine how environmental stress interacts with s...

Genetic Influences on Neural Responses in Placebo Analgesia Circuitry

Placebo analgesia is a well-established medical phenomenon with overlapping neural representations b...

Structural changes in autism reflect atypical brain network organization and phenotypical heterogeneity: a hybrid deep network approach

Autism Spectrum Disorder (ASD) is a developmental disorder characterized by heterogeneity in social ...

Ensembles of Graph Neural Networks Supervised by Genotype-to-Phenotype Structures Improved Genomic Prediction Performance

Accurate selection of favourable crop genotypes has motivated the exploration of diverse prediction ...

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