Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 24,491 to 24,500 of 217,425 articles

Yawning reveals energy-dynamics mismatch and neural inertia across state transitions

bioRxiv Apr 29, 2026
Yawning is a highly conserved behavior, yet its neural dynamics across arousal state transitions remain poorly understood. Classical reflex models fail to account for the precise timing of yawns during large-scale changes in brain network organizatio... read more 
neuroscience

GRNPred: A Multimodal Graph Transformer with Masked Gene Expression Pretraining for Gene Regulatory Network Inference

bioRxiv Apr 29, 2026
Gene regulatory network (GRN) inference is a key problem in systems biology that aims to identify transcription factor (TF)-target gene interactions from high-dimensional gene expression data, but it remains challenging due to limited labeled data, c... read more 
bioinformatics

Adolescent Astrocyte Dysregulation Impairs Prefrontal Interneuron Maturation and Adult Cognition

bioRxiv Apr 29, 2026
The prefrontal cortex (PFC), a brain region critical for executive and cognitive functions, is characterized by its protracted maturation extending through adolescence until early adulthood. During adolescence, the PFC undergoes substantial rearrange... read more 
neuroscience

Explainable Prototype Booster: Enhancing Latent Representations of Foundation Models for Gene Expression Prediction

bioRxiv Apr 29, 2026
Spatial transcriptomics (ST) is a cutting-edge technology that measures gene expression while preserving spatial context and generating pathology-grade tissue images. Although ST has enabled numerous discoveries and demonstrated a huge application po... read more 
bioinformatics

MedSDoH: A Rule-Based System for Extracting Social Determinants of Health from Multi-site EHRs Based on the OHNLP Framework

medRxiv Apr 29, 2026
Objective - Social Determinants of Health (SDoH) are critical to patient care and population health. Despite their importance, SDoH information is frequently embedded within unstructured clinical text such as patient-reported information or social wo... read more 
health informatics

Metastasis Extraction from NSCLC Clinical Notes: A Retrospective Comparative Evaluation of Large Language Model-Based Classification

medRxiv Apr 29, 2026
Background: Identification of metastasis status in non-small cell lung cancer (NSCLC) is a critical part of understanding disease prognosis, treatment courses, trial eligibility, and population-level cancer surveillance. However, metastasis record ar... read more 
health informatics

Artificial Intelligence, LLM-based generation of synthetic patients with Parkinson's Disease: towards a digital twin paradigm for in silico studies

medRxiv Apr 29, 2026
Heterogeneity in sporadic Parkinson's Disease (PD) is a critical problem that drives variable rates of progression and treatment response and complicates clinical trials. Access to large PD datasets that may help in clustering this heterogeneity is r... read more 
neurology

An Interpretable Deep Learning Framework Reveals Frontoparietal Control Network Hyperactivation Underlying Autism Diagnosis and Symptom Severity

medRxiv Apr 29, 2026
BACKGROUND: Autism spectrum disorder (ASD) is marked by profound neurobiological heterogeneity, which drives inconsistent neuroimaging findings and impede the discovery of reliable biomarkers for precise diagnosis and phenotypic prediction. Although ... read more 
psychiatry and clinical psychology

Disrupted oral microbial networks and reproducible community signatures implicate the oral-gut axis in Crohn's disease

medRxiv Apr 29, 2026
Background: Emerging evidence suggests that the oral microbiome may contribute to aberrant gut immune responses in Inflammatory Bowel Disease (IBD). Methods: We performed a comprehensive, harmonised analysis of aggregated oral microbiome 16S rRNA dat... read more 
gastroenterology

Predicting one-year postoperative functional status in contrast-enhancing glioma

medRxiv Apr 29, 2026
Background and Objectives Preoperative prediction of functional outcomes in contrast-enhancing glioma could support surgical decision-making and patient counseling, yet most existing models incorporate histopathological or postoperative variables una... read more 
neurology
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