Artificial Intelligence Medical Compendium

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

Showing 10,391 to 10,400 of 209,311 articles

AI-based Psychiatric Prediction in Youth: Neuroimaging Provides Minimal Gains Beyond Confounds

bioRxiv May 26, 2026
Recent advances in artificial intelligence (AI) have raised interest in its potential to similarly progress biological psychiatry. This study investigates the current utility of AI models in predicting psychiatric phenotypes in youth - a critical win... read more 
neuroscience

Molecular Characterization of T-Lineage Acute Lymphoblastic Leukemia by an Optimal-Transport Based Multi-Omics Integration Framework

bioRxiv May 26, 2026
T-lineage acute lymphoblastic leukemia (T-ALL) is an aggressive pediatric malignancy characterized by complex heterogeneity across multiple molecular layers. Accurate subtyping is essential for understanding disease mechanisms, risk stratification, a... read more 
bioinformatics

Whole slide image analysis of the endometrial decidual reaction reveals multiscale perturbations associated with miscarriage

bioRxiv May 26, 2026
The inflammatory decidual reaction renders the cycling endometrium transiently permissive for embryo implantation before transforming it into the decidua, the maternal bed accommodating the fetal placenta during pregnancy. Disruptions in decidual tis... read more 
pathology

dbGIST: An LLM-Assisted Multi-Omics Resource for Target Exploration and Cross-Dataset Validation in Gastrointestinal Stromal Tumors

bioRxiv May 26, 2026
Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal neoplasms of the gastrointestinal tract, yet GIST-specific omics evidence remains scattered across small cohorts and is not represented as a dedicated disease project in major ca... read more 
cancer biology

Pathogen-specific antimicrobial activity prediction with biological large language model-based methods

bioRxiv May 26, 2026
Driven by the rise of antimicrobial resistance, antimicrobial peptides (AMPs) have emerged as promising therapeutics capable of targeting multidrug-resistant pathogens. Because identifying AMPs and their specific targets requires costly and labor-int... read more 
bioinformatics

CryoARC: Atomic-resolution conformational landscapes of protein assemblies from cryo-EM single particles with evolutionary priors

bioRxiv May 26, 2026
Single-particle cryo-electron microscopy (cryo-EM) reveals structural heterogeneity in macromolecular complexes, but recovering continuous conformational landscapes at high resolution remains challenging. Here, we introduce CryoARC, a deep learning f... read more 
bioinformatics

Estimation of the curved body length of tuna larvae from microscope images using a zero-shot model and image processing techniques

bioRxiv May 26, 2026
Fixed larval specimens often shrink and curve, making length measurement labor-intensive. Although recent studies have demonstrated efficient fish-length estimation from images using deep learning, methods for estimating curved length remain limited.... read more 
ecology

Nanostructured Zirconia thin films as neurogliomorphic interface for neural cells of central and peripheral nervous system

bioRxiv May 26, 2026
Recent advances in neuroscience have highlighted the central role of glial cells, particularly astrocytes, in regulating neural network activity through calcium-dependent neuron-glia communication. In parallel, nanostructured cluster-assembled materi... read more 
bioengineering

Automated sleep scoring in hibernating and non-hibernating American black bears

bioRxiv May 26, 2026
Hibernating bears show remarkable metabolic suppression. Their decline in core body temperature (Tb) is moderate(from 38{degrees}C to 30-35{degrees}C), but their metabolism declines as much as 75%. To understand the role of sleep in this hypometaboli... read more 
neuroscience

Impact of AI-Assisted Mammography Reading on Quality Indicators in the Czech Breast Cancer Screening Programme: A Retrospective Study

medRxiv May 26, 2026
Objectives: The aim of mammographic screening is the early detection of invasive cancers. In the era of artificial intelligence (AI), this tool may improve diagnosis of earlier stages. The purpose of this study was to assess the impact on selected qu... read more 
oncology
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