Artificial Intelligence Medical Compendium

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

Showing 46,971 to 46,980 of 224,199 articles

Opportunistic Screening with Imaging: Actionable Insights from Unused Data.

Radiologic clinics of North America Feb 26, 2026
The growing volume of clinical imaging and the emergence of artificial intelligence technologies present a unique opportunity to extract additional value from existing imaging data that would otherwise go unused, providing patients with health benefi... read more 

Deep Learning Model to Detect Diabetic Retinopathy in 45° Images Using Ground Truth from Ultra-Widefield Imaging.

Ophthalmology science Feb 26, 2026
PURPOSE: To evaluate the performance of a deep learning (DL) model in classifying diabetic retinopathy (DR) severity using fundus images with varying fields of view and to assess whether central retinal features alone reflect overall disease burden. ... read more 

AI predicted TCR-pMHC structures differentiate immune interactions

bioRxiv Feb 26, 2026
The T Cell Receptor (TCR) is a highly variable component of the T cell immune response that recognizes unique epitopes presented on MHC molecules (pMHC). Random genetic recombination limits the ability for sequence homology to predict epitope specifi... read more 
immunology

Decoding the Allosteric Paradox: A Dual Framework Integrating AI Cofolding Models with Landscape-Guided Interpretable AI Framework of Ligand-Protein Binding

bioRxiv Feb 26, 2026
Artificial intelligence (AI) has transformed prediction of protein structure and biomolecular interactions, yet modeling of allosteric regulation remains a persistent and unresolved challenge. We develop a dual explainable AI framework that systemati... read more 
biophysics

Permutation-calibrated stability discovery under ???? >> ????: A leak-controlled Machine Learning framework identifies candidate proteomics panels in antiseizure medication-related side effects

bioRxiv Feb 26, 2026
We investigated whether the plasma proteome distinguishes people with epilepsy who report central nervous system (CNS) side effects from antiseizure medications (ASMs) from those who do not. In 161 patients profiled using proximity extension assay-ba... read more 
neuroscience

A Benchmarking Study of Feature Screening Approaches Across Omics Classification Settings

bioRxiv Feb 26, 2026
In recent years, high dimensional omics analyses have become more commonplace for investigating complex biological systems. Typically, these studies attempt to identify key biomolecules associated with a particular biological process. Often, machine ... read more 
bioinformatics

Developing And Internally Validating AI-Based Aging Resilience Biomarkers in Non-Human Primates

bioRxiv Feb 26, 2026
Quantifying biological aging is crucial for understanding functional decline before the onset of morbidity. While many accelerated aging and frailty measures based on clinical data exist for humans and several for rodent models of aging, there are fe... read more 
bioinformatics

Deep learning enables feature extraction of 3D collagen architecture in cleared fibrotic tissues

bioRxiv Feb 26, 2026
Light-sheet fluorescence microscopy enables deep optical sectioning of large, cleared biological tissues. However, effective clearing of collagen-rich tissues remains a persistent technical challenge. Moreover, standardized workflows integrating thre... read more 
cancer biology

CellSwarm: LLM-Driven Cell Agents Recapitulate Tumor Microenvironment Dynamics and Sense Indirect Genetic Perturbations

bioRxiv Feb 26, 2026
Agent-based models of the tumor microenvironment (TME) traditionally rely on hand-coded rules that cannot generalize beyond their programmed logic. Here we present CellSwarm, a framework that replaces rule-based cell decision-making with large langua... read more 
systems biology

Transforming Histology into Virtual Multiplex Immunofluorescence to Decode Prognostic Spatial Immunity in Hepatocellular Carcinoma

bioRxiv Feb 26, 2026
The spatial organization of the tumor immune microenvironment (TIME) drives hepatocellular carcinoma (HCC) prognosis but remains unquantifiable on routine H&E slides. Here, we present HCCExplorer, a deep learning framework that translates H&E into vi... read more 
pathology
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