Artificial Intelligence Medical Compendium

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

Showing 6,861 to 6,870 of 205,891 articles

Mechanistic Insights into PET-MPs-Aggravated Ischemic Stroke via Integrated Computational-Experimental Approaches.

Environmental science & technology May 31, 2026
Microplastics, especially the environmentally pervasive polyethylene terephthalate microplastics (PET-MPs), are important environmental pollutants, and their potential risks to the health of the nervous system are increasingly a concern. Evidence ind... read more 

Integrated Network Pharmacology, Molecular Docking, and Experimental Validation for Uncovering the Pharmacodynamic Basis of Sanghuang against Human Pulmonary Fibrosis.

Combinatorial chemistry & high throughput screening May 31, 2026
INTRODUCTION/OBJECTIVE: Sanghuang, a traditional Chinese medicinal fungus, exhibits well-documented anti-inflammatory, antioxidant, and antitumor activities. Emerging preclinical evidence indicates its efficacy in ameliorating bleomycin-induced Pulmo... read more 

From unsupervised clustering to atlas-guided annotation in cohort-scale spatial omics with HiCAT

bioRxiv May 31, 2026
Pathologist-annotated tissue regions provide a fundamental reference for examining spatial omics data, yet such annotations are available for a limited number of samples due to the substantial manual effort required. Moreover, these annotations are d... read more 
genomics

Instance-Wise Contrastive Graph Neural Network Enables the Discovery of Novel Aedes aegypti Larvicidal Compounds

bioRxiv May 31, 2026
Aedes aegypti remains a major arboviral vector, making larval control a critical strategy to reduce mosquito populations. However, resistance to commercial larvicides has reduced the long-term effectiveness of current interventions, reinforcing the n... read more 
bioinformatics

Entropy Fusion DNA: Alignment-Free Gene Fusion Detection through Entropy and Mutual Information Descriptors

bioRxiv May 30, 2026
Gene fusions are clinically relevant genomic alterations and key cancer biomarkers. Their computational detection remains dominated by alignment-based pipelines, whose reliance on read mapping, reference annotations, and heuristic filtering makes the... read more 
bioinformatics

Cooperative FOXA1-HNF4A binding emerges from motif spacing and nucleosome architecture

bioRxiv May 30, 2026
The pioneer factor hypothesis posits that specialized transcription factors access nucleosomal DNA to enable binding of secondary factors, implying a hierarchical mechanism of chromatin opening. However, recent evidence indicates that cooperative bin... read more 
genomics

Explainable machine learning reveals an RBP regulatory logic of exon skipping

bioRxiv May 30, 2026
RNA binding proteins (RBPs) regulate the life cycle of an mRNA, often through RBP-RNA interactions. This life cycle includes splicing, whereby the intronic sequence of a pre-mRNA is removed and the exons are joined together. However, the patterns of ... read more 
systems biology

A pilot assessment of avian communities and soundscapes along an Amazonian fluvial corridor

bioRxiv May 30, 2026
Quantifying biodiversity patterns in remote Amazonian ecosystems remains constrained by the limitations of traditional field surveys. We combined passive acoustic monitoring (PAM), machine learning, and ecoacoustic metrics to assess the taxonomic and... read more 
ecology

Comparison of AI protein structure ensemble prediction tools

bioRxiv May 30, 2026
Multiple AI prediction tools for protein structural ensembles have recently been released, building on the much heralded advances from AlphaFold, large language models, and other machine-learning approaches. Here we report on a comparison of several ... read more 
biophysics

Boundary-Specific Failure Modes and Safety Trade-offs of Large Language Models in ChronicKidney Disease Renoprotective Therapy Review:A Stratified Synthetic Benchmark

medRxiv May 30, 2026
Background.Renoprotective therapies - SGLT2 inhibitors, finerenone, and renin-angiotensin system inhibitors (RASi) - remain underutilisedin chronic kidney disease (CKD). Large language models (LLMs) may detect therapy omissions, but their performance... read more 
nephrology
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