Artificial Intelligence Medical Compendium

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

Showing 25,911 to 25,920 of 217,905 articles

Deep Learning-Guided Holotomography Reveals Early Structural Remodelling During Pluripotency Exit

bioRxiv Apr 27, 2026
Real-time assessment of human pluripotent stem cell (hPSC) quality is critical for reproducibility and safety in regenerative medicine, yet current methods are invasive, labor-intensive, or highly operator-dependent. We present DeepHOPE (Deep-learnin... read more 
developmental biology

A machine learning approach to infer DNase1L3 activity from plasma cell-free DNA fragmentomics

bioRxiv Apr 27, 2026
DNase1L3 is an endonuclease that fragments DNA during apoptosis and digests DNA from microparticles in plasma, shaping key features of cell-free DNA (cfDNA) and maintaining extracellular DNA homeostasis, a process implicated in autoimmunity. The comm... read more 
genomics

Generative design of sequence specific DNA binding proteins

bioRxiv Apr 27, 2026
De novo protein design has advanced rapidly in recent years, yet the programmable recognition of specific DNA sequences remains a longstanding challenge. Here we describe a deep learning based approach for designing sequence selective DNA binding pro... read more 
synthetic biology

Combining AI structure prediction and integrative modelling for nanobody-antigen complexes

bioRxiv Apr 27, 2026
Nanobodies exhibit antigen binding a[ffi]nities of the same order as those of antibodies, which, along with their small size and unique structural characteristics, makes them well-suited for therapeutic and diagnostic applications. The lack of coevol... read more 
bioinformatics

Incidence and prevalence of vascular cognitive impairment in China: a systematic review and meta-analysis.

Stroke and vascular neurology Apr 27, 2026
OBJECTIVE: Given China's rapid population ageing and substantial stroke burden, understanding the epidemiology of vascular cognitive impairment (VCI) is critical. This study aimed to systematically evaluate VCI prevalence and incidence in China from ... read more 

AI-Powered Image-Based Assessment of Pressure Injuries Using You Only Look Once Version 8 (YOLOv8) Models.

Advances in wound care Apr 27, 2026
OBJECTIVE: The primary objective of this study is to enhance the detection and staging of pressure injuries using machine learning capabilities for precise image analysis. This study explores the application of the You Only Look Once version 8 (YOLOv... read more 

A multi-view machine learning approach for estimating PM2.5 concentrations from smartphone photographs.

Journal of hazardous materials Apr 26, 2026
Accurate and efficient estimates of fine particulate matter (PM2.5) concentrations and associated exposure from smartphone photographs can provide the public with personalized risk information, helping to raise environmental risk awareness and reduce... read more 

Caries DETR: Tooth Structure-aware Prior and Lesion-aware Dynamic Loss Refinement for DETR Based Caries Detection

arXiv Apr 26, 2026
As dental caries appear as subtle, low-contrast lesions in intraoral imaging, existing deep learning models face significant challenges in the early detection of caries. While recent Transformer-based detectors have shown promising results in natural... read more 
Computer Vision and Pattern Recognition

Impact of Age Specialized Models for Hypoglycemia Classification

arXiv Apr 26, 2026
Disease progression varies with age and is influenced by underlying genetic, biochemical, and hormonal etiologies, suggesting the need for tailored monitoring, care, and medication beyond standard clinical guidelines. Specifically, in autoimmune dise... read more 
Machine Learning cs.AI cs.HC

Agentic Fusion of Large Atomic and Language Models to Accelerate Materials Discovery

arXiv Apr 26, 2026
The discovery of novel materials is critical for global energy and quantum technology transitions. While deep learning has fundamentally reshaped this landscape, existing predictive or generative models typically operate in isolation, lacking the aut... read more 
Machine Learning cond-mat.mtrl-sci
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