Artificial Intelligence Medical Compendium

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

Showing 2,341 to 2,350 of 202,214 articles

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

ViTAMIn-O: Democratizing computer vision-based machine learning for stem cell research

bioRxiv Jun 3, 2026
Deep Learning (DL) holds exciting potential in automating the prediction of organoid differentiation results. Nevertheless, current models lack adaptability, openness, and robustness in performance. Additionally, broad employments of predictive model... read more 
bioinformatics

Integrating Histology with Spatial Molecular Programs Using a Multimodal Foundation Model

bioRxiv Jun 3, 2026
Histopathological assessment remains central to cancer diagnosis and stratification, yet its mechanistic interpretation remains limited without molecular context. To address this, we developed SQUALL, a multimodal foundation model integrating histolo... read more 
bioinformatics

Convergent genome- and gene-level constraints shape repeated environmental adaptation in grasses

bioRxiv Jun 3, 2026
Grasses (Poaceae) dominate terrestrial ecosystems and sustain global food security, yet the genomic principles enabling their repeated adaptation to extreme environments remain unresolved. Combining dense phylogenomic sampling, global environmental d... read more 
evolutionary biology
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