Artificial Intelligence Medical Compendium

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

Showing 51,371 to 51,380 of 225,182 articles

BRIDGE: Biological Antimicrobial Resistance Inference viaDomain-Knowledge Graph Embeddings

bioRxiv Feb 11, 2026
Antimicrobial resistance (AMR) is a growing global health crisis, responsible for an estimated 1.27 million deaths in 2019 alone. traditional approaches to identifying antibiotic resistance genes (ARGs) are often labour-intensive and limited in their... read more 
bioinformatics

A machine learning approach to identify key Epigenetic Transcripts for Ageing research in human blood (Epitage)

bioRxiv Feb 11, 2026
DNA methylation is an established biomarker of human ageing, and analysing CpGs grouped by transcript as functional units may reveal new insights into the processes of ageing. In this study, we analyzed the GSE87571 dataset (714 samples from 14-94 ye... read more 
bioinformatics

A spectral framework for measuring diversity in multiple sequence alignments

bioRxiv Feb 11, 2026
Machine learning (ML) methods for proteins and RNAs rely on multiple sequence alignments (MSAs) and related datasets such as experimental mutagenesis libraries, yet the amount of usable information they contain remains unclear. Here, a spectral measu... read more 
bioinformatics

Network-based integration of gene expression and DNA methylation identifies prognostic biomarkers for early-stage pancreatic cancer

bioRxiv Feb 11, 2026
Pancreatic ductal adenocarcinoma remains one of the most lethal malignancies, largely due to the absence of reliable early stage biomarkers. Here, we present a network-based multi-omics framework that integrates gene expression and DNA methylation da... read more 
cancer biology

Identification and experimental verification of key genes related to the Ras signaling pathway and the Hippo signaling pathway in osteoarthritis based on transcriptome data

bioRxiv Feb 11, 2026
Background Osteoarthritis (OA) is a chronic degenerative joint disease characterized by the progressive deterioration of articular cartilage, significantly impacting the quality of life in middle-aged and elderly populations. The Ras and Hippo signal... read more 
cell biology

Multiplexed high-content imaging uncovers morphological diversity of lymphocyte activation and dysfunction

bioRxiv Feb 11, 2026
Single-cell transcriptomic and proteomic technologies enable molecular profiling of immune cells at scale but provide limited access to cellular phenotypes shaped by spatial organisation, organelle architecture and cytoskeletal remodelling. Here we p... read more 
immunology

GeneReL: A Large Language Model-Powered Platform for Gene Regulatory Relationship Extraction with Community Curation

bioRxiv Feb 11, 2026
Motivation: Gene regulatory networks provide fundamental insights into plant biology, yet extracting structured interaction data from scientific literature remains a significant bottleneck. Traditional manual curation cannot scale to meet the demands... read more 
bioinformatics

Neural Dynamics of Automatic Speech Production

bioRxiv Feb 11, 2026
Speech is a defining human behavior, and this ability depends critically on speech motor cortex. While the ventral precentral and postcentral gyri are classically regarded as chiefly articulatory and somatosensory regions, a growing body of literatur... read more 
neuroscience

Deep learning outperforms traditional machine learning methods in predicting childhood malnutrition: evidence from survey data

arXiv Feb 11, 2026
Childhood malnutrition remains a major public health concern in Nepal and other low-resource settings, while conventional case-finding approaches are labor-intensive and frequently unavailable in remote areas. This study provides the first comprehens... read more 
Machine Learning

Time-to-Event Transformer to Capture Timing Attention of Events in EHR Time Series

arXiv Feb 11, 2026
Automatically discovering personalized sequential events from large-scale time-series data is crucial for enabling precision medicine in clinical research, yet it remains a formidable challenge even for contemporary AI models. For example, while tran... read more 
Machine Learning cs.AI
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