Artificial Intelligence Medical Compendium

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

Showing 181 to 190 of 212,780 articles

Organism-scale annotation with Pan-human Azimuth

bioRxiv Jul 21, 2026
Single-cell atlases now span many human tissues, but inconsistent annotations across studies limit their utility as a unified reference. We introduce Pan-human Azimuth, a supervised neural network that maps human cells from diverse tissues and datase... read more 
genomics

SPgen: Proteome-wide Spatial Proteomics generation using multi-modality foundation models

bioRxiv Jul 21, 2026
Spatial proteomics (SP) measures the spatial distribution of proteins within tissues, providing important insights into tissue function, disease, and therapeutic response. However, current SP technologies profile only a small fraction of the proteome... 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

From CHESS to CHECKMATE: A Practical Score for Predicting Shunt Dependency Following Subarachnoid Hemorrhage

medRxiv Jul 21, 2026
Objective: Shunt-dependent hydrocephalus is a common and costly complication of aneurysmal subarachnoid hemorrhage (aSAH), affecting up to 28% of survivors. Existing prediction tools, including the Chronic Hydrocephalus Ensuing from SAH Score (CHESS)... read more 
neurology

Developing a Heart Failure Readmission Model From Inpatient Electronic Medical Record Data

medRxiv Jul 21, 2026
Importance: Heart failure readmissions remain common following hospitalization, but accurately identifying which patients will be readmitted after discharge remains challenging. Improved prediction could support targeted transitional care interventio... read more 
cardiovascular medicine

Encoding Discordance in the Alzheimer's Disease A/T/N Framework

medRxiv Jul 21, 2026
INTRODUCTION: The biomarker-based amyloid/ tau/ neurodegeneration (A/T/N) framework has become a popular staging method for Alzheimer's disease (AD) research. Previous studies use the framework either as a rule-based or data-driven approach but typic... read more 
health informatics
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