Artificial Intelligence Medical Compendium

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

Showing 5,691 to 5,700 of 205,404 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

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

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

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

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

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

bioRxiv Jun 3, 2026
Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within... read more 
bioengineering

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

Self-Reported Side Effects Among Reddit Users Taking Unapproved Retatrutide

medRxiv Jun 3, 2026
Gray-market retatrutide use is increasing, but patient safety experiences remain poorly characterized. This cross-sectional analysis examined Reddit posts and comments from retatrutide-specific and broader peptide or weight-management communities thr... read more 
health informatics

Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

medRxiv Jun 3, 2026
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with atherosclerotic cardiovascular disease (ASCVD) are conventionally described using models based on single time points. We identified longitudinal diabetes ... read more 
endocrinology
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