Neurology

Autism

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

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Deep Learning for genomic prediction accounting for heterosis in crossbreeding systems

Crossbreeding is used in animal breeding to combine desirable traits from different breeds and to ex...

Allostery is a widespread cause of loss-of-function variant pathogenicity

Allosteric communication between non-contacting sites in proteins plays a fundamental role in biolog...

dFCExpert: Learning Dynamic Functional Connectivity Patterns with Modularity and State Experts

Characterizing brain dynamic functional connectivity (dFC) patterns from functional Magnetic Resonan...

pyRootHair: Machine Learning Accelerated Software for High-Throughput Phenotyping of Plant Root Hair Traits

Root hairs play a key role in plant nutrient and water uptake. Historically, root hair traits have b...

Machine Learning Resolves Functional Phenotypes and Therapeutic Responses in KCNQ2 Developmental Epileptic Encephalopathy iPSC Models

Pathogenic KCNQ2 variants are associated with developmental and epileptic encephalopathy (KCNQ2-DEE)...

Predicting flowering time using integrated morphophysiological and genomic data with machine learning models

Indigenous Cannabis Sativa populations have adapted to diverse environments, resulting in genetic an...

Colorectal cancer heterogeneity co-evolves with tumor architecture to determine disease outcome

Intratumoral heterogeneity, originating from genetic, epigenetic, and phenotypic cellular diversity,...

EpiPred: A gene-specific machine learning model for classifying missense variants in the epilepsy-related gene STXBP1

Missense variants in the STXBP1 gene are a frequent cause of early-onset developmental and epileptic...

Scratcher: An automated machine-vision tool for dissecting the neural basis of itch

Itch or pruritus invokes a specific reflexive and repetitive directed nocifensive behavioural respon...

Large-Scale Neural Network Compensation Underlying Camouflaging in Trait Autism and Its Potential Mental Health Costs

Social camouflaging refers to strategies to hide or compensate for social difficulties, often at a s...

A systematic protocol to identify “clinical controls” for pediatric neuroimaging research from clinically acquired brain MRIs

Progress at the intersection of artificial intelligence and pediatric neuroimaging necessitates larg...

Neural Network-Enhanced Investigation of Ferroptosis and Druggability in Early-Onset Alzheimer’s Disease

Alzheimer’s disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. ...

Modeling differences in neurodevelopmental maturity of the reading network using support vector regression on functional connectivity data

The construction of growth charts trained to predict age or developmental deviation (the ‘brain-age ...

Drosophila Video-assisted Activity Monitor (DrosoVAM): a versatile method for behavior monitoring

Drosophila melanogaster has been a pioneering model system for investigations into the genetic bases...

Decoding the interconnected splicing patterns of hepatitis B virus and host using large language and deep learning models

Hepatitis B virus (HBV) infection causes approximately one million deaths annually and remains a maj...

Improving polygenic risk prediction performance through integrating electronic health records by phenotype embedding

Large-scale biobanks provide comprehensive electronic health records (EHRs) that capture detailed cl...

Can large language models reliably extract human disease genes from full-text scientific literature?

Manual extraction of high-fidelity gene-disease-phenotype information from human genetics literature...

The genetic architecture of the human bZIP interaction network

Generative biology holds the promise to transform our ability to design and understand living system...

A genetic algorithm for self-supervised models of oscillatory neurodynamics

Predictive processing theories propose that the brain supervises itself, to build an internal model ...

In Silico Design of APOE ɛ4 Interaction Inhibitor Peptides for Alzheimer’s Disease

Protein-protein interactions (PPIs) are essential for cellular functions, and their aberrant formati...

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