Artificial Intelligence Medical Compendium

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

Showing 531 to 540 of 213,137 articles

Representative vs. Load-bearing Layers: A Dissociation in Genomic Foundation Models

bioRxiv Jul 21, 2026
Downstream use of genomic foundation models follows one of three conventions: aggregating representations across all layers (Pearce et al., 2026), defaulting to the last hidden state as a fixed feature extractor (Dalla-Torre et al., 2024), or picking... read more 
bioinformatics

Binary node clustering via contrastive learning for haplotype phasing in de novo genome assembly

bioRxiv Jul 21, 2026
Accurate haplotype phasing is essential for high-quality genome assembly, yet de novo phasing of complex genomes without parental data remains challenging. We formulate haplotype phasing as a node clustering problem with overlapping clusters on augme... read more 
bioinformatics

ProtSyntax: a protein large language model for decoding post-translational modification syntax and function

bioRxiv Jul 21, 2026
Post-translational modifications (PTMs) regulate protein function through dependencies among residue chemistry, sequence context, three-dimensional microenvironments and modification states, yet most predictors model sites independently and do not co... read more 
bioinformatics

Vision Normalizing Flows for the probability-informed detection of banana diseases from in-field images

bioRxiv Jul 21, 2026
Banana diseases impose severe production losses in tropical smallholder farming systems, yet accurate in-field visual diagnosis remains difficult: symptom expression varies across cultivars and growth stages, and several diseases produce morphologica... read more 
plant biology

Using large language models for enhancing accessibility for Monte Carlo photon transport simulations and beyond

bioRxiv Jul 21, 2026
Significance: Computational modeling and the use of simulation software tools are essential for biomedical optics research. Designing effective simulations often requires in-depth understanding of the underlying physical problems and proper configura... read more 
bioengineering

Combining Stability-Centered Atomistic Design with Machine Learning for Targeted Enzyme Optimization

bioRxiv Jul 21, 2026
FuncLib and high-throughput FuncLib (htFuncLib) generate diverse, functional protein libraries using a stability-centered design; however, this substrate-independent approach lacks target-specific functional constraints. We developed a machine-learni... read more 
biochemistry

A hybrid machine learning and enzyme-constrained metabolic model for ab initio prediction of proteome reallocation

bioRxiv Jul 21, 2026
High expression of heterologous proteins in microbial cell factories frequently triggers a severe burden due to reallocation of finite cellular proteome. Conventional constraint-based models struggle to predict these resource shifts ab initio without... read more 
systems biology

Composite Artificial Intelligence-Enabled Electrocardiogram for Detection and Prediction of Structural Heart Disease

medRxiv Jul 21, 2026
Background Structural heart disease (SHD) drives heart failure and cardiovascular mortality but remains underdiagnosed, and echocardiography is limited as a population-level screening tool. Objectives We evaluated whether a composite artificial intel... read more 
cardiovascular medicine

Development and Validation of Machine Learning Models for Predicting 13 or More Sections in Mohs Micrographic Surgery

medRxiv Jul 21, 2026
Background: Cases requiring 13 or more tissue sections in Mohs micrographic surgery (MMS) demand extended operative time, additional resources, and often specialised closure techniques. Pre-operative identification of such cases would improve surgica... read more 
dermatology

Aligning Reinforcement Learning with Clinical Practice for Safe Decision Support in Pediatric Sepsis

medRxiv Jul 21, 2026
Offline reinforcement learning (RL) has emerged as a promising framework for clinical decision support in sepsis, yet most existing studies focus exclusively on adult populations, leaving pediatric care largely unexplored despite important physiologi... read more 
intensive care and critical care medicine
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