Artificial Intelligence Medical Compendium

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

Showing 2,741 to 2,750 of 202,598 articles

Interpretable machine learning for coeliac disease diagnosis: quantitative morphometry of duodenal biopsies

medRxiv Jun 3, 2026
Background Coeliac disease affects approximately 1% of the global population and remains substantially underdiagnosed. Histopathological assessment of duodenal biopsies is the diagnostic gold standard but is subject to approximately 20% inter-observe... read more 
pathology

Automated assessment of neonatal internal capsule maturation on T2-weighted MRI across 7T and 3T

medRxiv Jun 3, 2026
Motivation: Quantitative assessment of neonatal internal capsule (IC) maturation remains largely reliant on qual- itative visual evaluation, limiting objectivity and scalability. Approach: We developed a fully automated 3D deep learning framework for... read more 
radiology and imaging

Medication-Wide Association Study of Alzheimer's Disease and Related Dementias: Identifying Drug Candidates from Electronic Health Records through Explainable AI

medRxiv Jun 3, 2026
Objective: Alzheimer's disease (AD) is a leading cause of death and disability, and treatment options for Alzheimer's disease and related dementias (ADRD) remain limited. We applied a data-driven, mechanism-agnostic Medication-Wide Association Study ... read more 
geriatric medicine

CodeCytos: AI-assisted spatial molecular imaging analysis via code-augmented agent action space

bioRxiv Jun 3, 2026
Conventional tissue image analysis software provides foundational capabilities for cellular analysis, including segmentation, morphological feature extraction, and spatial organization analysis; however, these tools often require manual intervention ... read more 
bioinformatics

SciCore-Omics: a tri-modal foundation model unifying histology, spatial transcriptomics and language for spatial biology

bioRxiv Jun 3, 2026
Histomorphology and spatial transcriptomics capture complementary aspects of tissue biology, but their relationships remain difficult to extract, align, and interpret at scale. Existing foundation models typically connect histology, omics, or languag... read more 
bioinformatics

AdventML: Advanced Enzyme Temperature Prediction with Transformer-Based Embeddings and Resampling Strategies

bioRxiv Jun 3, 2026
Accurate prediction of enzymes' optimal catalytic temperature (Topt) is crucial in biotechnology, as enzymes with extreme Topt values are highly desirable for reactions at extreme temperatures and for their general stability. However, experimental de... read more 
bioinformatics

HyperNiche: Learning Heterophilic Cellular Niches with Hypergraph Neural Networks

bioRxiv Jun 3, 2026
We propose HyperNiche, a hypergraph-based framework for modeling higher-order, heterogeneous cellular niches from spatial transcriptomics data. Unlike conventional graph-based methods that rely on pairwise similarity and tend to produce homogeneous c... read more 
bioinformatics

sstar2: A Python Package for S*-based Archaic Introgression Detection with Machine Learning

bioRxiv Jun 3, 2026
Detecting introgressed genomic fragments from unsampled or extinct source populations remains challenging. The S* statistic is widely used for this purpose, but the original sstar implementation relies on generalized additive models to smooth quantil... read more 
bioinformatics

MAGI: Mechanistic Consequences of Genetic Variants via Genomic Foundation Models

bioRxiv Jun 3, 2026
Clinical variant interpretation requires mechanism-aware evidence to guide diagnosis and clarify the biological consequences of mutations. However, existing computational predictors and genomic foundation models largely function as black boxes, provi... read more 
genetics

ORIGAMI: Orientation-Aware Graph Neural Network for Assessing Multimeric Interfaces of Protein Complex Structures

bioRxiv Jun 3, 2026
Deep learning-based protein structure prediction methods have led to a paradigm-shift in computational structural biology, yet reliably assessing the quality of computationally predicted multimeric structures remains challenging. Recent methods have ... read more 
bioinformatics
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