Artificial Intelligence Medical Compendium

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

Showing 22,781 to 22,790 of 216,842 articles

Combinatorial epigenomic patterns define regulatory programs underlying disease heterogeneity

bioRxiv May 5, 2026
Disease is a heterogeneous process that involves multiple organs and cell types. Understanding how genomic variation contributes to disease requires approaches that move beyond the linear assumptions of additive models and resolve underlying disease ... read more 
genomics

Machine learning approaches for the identification and analysis of enterotoxin genes in Staphylococcus aureus genomes

bioRxiv May 5, 2026
Staphylococcus aureus produces a broad range of enterotoxins that act as superantigens, disrupting host immune responses and resulting in a myriad of clinical symptoms. However, large-scale analyses determining enterotoxin gene diversity, lineage str... read more 
bioinformatics

Fast and Ultra-Capable Protein Design: Advancing the Frontier Through Atomistic SE(3)-Equivariance with Genie 3

bioRxiv May 5, 2026
Despite the breakneck pace of progress in protein design methodology, frontier problems remain challenging, with leading methods struggling to design high-affinity binders, scaffold multiple functional motifs, or stabilize large multi-domain proteins... read more 
bioinformatics

Uncertainty-aware localization microscopy by variational diffusion

bioRxiv May 5, 2026
Fast extraction of physically relevant information from images using deep neural networks has led to significant advances in fluorescence microscopy and its application to the study of biological systems. For example, the application of deep networks... read more 
bioinformatics

STAT: A multi-agent framework for integrated and interactive spatial transcriptomics analysis

bioRxiv May 5, 2026
Spatial transcriptomics analysis often involves a myriad of computational methods across diverse platforms, leading analysts to spend excessive time on data assembly rather than deriving biological insights. Current AI solutions tend to either oversi... read more 
bioinformatics

Coordinated human prefrontal dynamics sustain task-state representations during learning

bioRxiv May 5, 2026
Making decisions in complex, real-world environments is challenging. Biologically plausible strategies like reinforcement learning (RL) require attention toward reward-predictive stimuli to define task states, yet how attention and decision processes... read more 
neuroscience

EffectorGeneP: accurate gene annotation in pathogen genomes from infection transcriptomes

bioRxiv May 5, 2026
Accurate gene annotation is crucial for inference of biological knowledge from genomes. However, non-canonical genes such as orphan or single-exon genes as well as those residing in rapidly evolving regions are routinely dismissed in annotation pipel... read more 
microbiology

Extracting adverse event nature, severity, timelines and resulting interventions from clinical notes of patients receiving CAR-T therapy using large language models.

medRxiv May 5, 2026
Chimeric Antigen Receptor T-cell (CAR-T) therapy, where genetically engineered patient T cells target tumor antigens, has transformed care for hematologic malignancies but requires careful tracking of adverse events (AEs) often documented only in uns... read more 
health informatics

Multilingual Evaluation of a Large Language Model-Based Primary Care Chatbot

medRxiv May 5, 2026
Pre-visit planning has the potential to reduce EHR documentation burden while improving workflow efficiency, care quality, and patient-provider engagement. Large language model (LLM) chatbots show promise for supporting this task, but while their Eng... read more 
health informatics

Screening for Rheumatic Heart Disease in Asymptomatic Children using Machine Learning from Electrocardiograms

medRxiv May 5, 2026
Early detection of Rheumatic Heart Disease (RHD) is essential in reducing its associated mortality and late complications. In resource-limited settings, automated detection using low-cost electrocardiogram (ECG) sensors can enhance prevention efforts... read more 
health informatics
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