Neurology

Autism

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

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DuSCN-FusionNet: An Interpretable Dual-Channel Structural Covariance Fusion Framework for ADHD Classification Using Structural MRI

Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental condition; ...

A new iterative framework for simulation-based population genetic inference with improved coverage properties of confidence intervals

Simulation-based methods such as approximate Bayesian computation (ABC) are widely used to infer the...

Age-related cerebellar genetic, neuronal and functional impairments are reversed by specific magnetic stimulation protocols

Age-related cognitive decline reflects progressive atrophic changes that advance through broad neura...

Predicting Unseen Gene Perturbation Response Using Graph Neural Networks with Biological Priors

Predicting transcriptional responses to genetic perturbations is a central challenge in functional g...

Learning relationships in epidemiological data using graph neural networks

When designing control strategies for an infectious disease it is critical to identify the key pathw...

Fully Automated Abstraction of Longitudinal Breast Oncology Records with Off-The-Shelf Large Language Models

Background: Manual chart abstraction is a major bottleneck in clinical research. In oncology, import...

X-Cell: Scaling Causal Perturbation Prediction Across Diverse Cellular Contexts via Diffusion Language Models

Causal models of cellular systems hold the promise to empower broad biological discovery, including ...

Causal differential expression analysis under unmeasured confounders with causarray

Advances in single-cell sequencing and CRISPR technologies have enabled detailed case-control compar...

Neural signatures of impaired semantic contextualization in Autism Spectrum Disorder

Some accounts of the etiology of autism emphasize core impairments in predictive coding, or, more fu...

pertTF: context-aware AI modeling for genome-scale and cross-system perturbation prediction

Predicting genetic perturbation responses at a single-cell level is central to building models for c...

Multi-Task Genetic Algorithm with Multi-Granularity Encoding for Protein-Nucleotide Binding Site Prediction

Accurate identification of protein-nucleotide binding sites is fundamental to deciphering molecular ...

Multimodal Connectome Fusion via Cross-Attention for Autism Spectrum Disorder Classification Using Graph Learning

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition characterized by atypical f...

Generative AI-based design of hybrid transcriptional activator proteins with new DNA-binding specificity

Transcriptional control arises from the specific recognition of promoter DNA by transcription factor...

A DNA foundation model predicts osteoporosis risk genes without proximity bias

Targets supported by human genetic associations are more than twice as likely to progress from clini...

Predicting targeted- and immunotherapeutic response outcomes in melanoma with single-cell Raman Spectroscopy and AI

Identifying predictive biomarkers of immunotherapeutic response in melanoma remains an outstanding c...

Distinct cellular DNA methylation mechanisms underlie common and rare genetic risk for brain disorders

Noncoding genetic variation contributes to brain disorder risk, but the mechanisms through which it ...

Identification and Developmental Analysis of the Facial Characteristics Associated with Sickle Cell Disease using Machine Learning

Background Sickle cell disease (SCD) is a common inherited genetic disorder and contributor to globa...

Peer Support in Online Discussions of Male Infertility: A Natural Language Processing Study of Reddit

Infertility generates profound psychological and social distress for both women and men, yet mens co...

BrainSTR: Spatio-Temporal Contrastive Learning for Interpretable Dynamic Brain Network Modeling

Dynamic functional connectivity captures time-varying brain states for better neuropsychiatric diagn...

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