Artificial Intelligence Medical Compendium

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

Showing 43,801 to 43,810 of 224,055 articles

NLP-12/Cholecystokinin signaling stabilizes sensory dendritic structure and protects neuronal healthspan in Caenorhabditis elegans

bioRxiv Mar 9, 2026
Aging selectively degrades neuronal structure and function, yet the signals that actively preserve neuronal integrity over adult life remain incompletely defined. In Caenorhabditis elegans, the PVD sensory neuron develops progressive excessive higher... read more 
neuroscience

A Novel Glycoproteomics Platform for High-Throughput Identification of Disease-Associated Glycoforms

bioRxiv Mar 9, 2026
Glycosylation is a critical post-translational modification, and its aberrant forms are potent disease biomarkers; however, the comprehensive, site-specific identification of all glycosites and glycoforms across an entire proteome remains prohibitive... read more 
bioinformatics

Comparative study of two xanthan gum glycosyltransferases combining AI structure predictions and molecular modeling

bioRxiv Mar 9, 2026
Xanthan gum is a widely used industrial polysaccharide employed as a thickening and stabilizing agent in food, pharmaceutical, and technological applications. Its biosynthesis involves membrane-associated glycosyltransferases that assemble the repeat... read more 
biophysics

Beyond model-free Pavlovian responding: a two-stage Pavlovian-instrumental transfer paradigm

bioRxiv Mar 9, 2026
Background: Pavlovian responding is a core component of behavior and can be measured via Pavlovian-instrumental transfer (PIT), where Pavlovian responses bias instrumental actions. Standard single-lever PIT paradigms, which assess responses using a s... read more 
neuroscience

invertmeeg: A Unified Python Library and Benchmark for 112 M/EEG Inverse Solvers

bioRxiv Mar 9, 2026
Magnetoencephalography (MEG) and electroencephalography (EEG) source imaging requires solving an ill-posed inverse problem for which numerous algorithms have been proposed over the past decades. However, these methods are scattered across different p... read more 
neuroscience

Benchmarking 80 binary phenotypes from the openSNP dataset using deep learning algorithms and polygenic risk score tools

bioRxiv Mar 9, 2026
Genotype-phenotype prediction plays a crucial role in identifying disease-causing single nucleotide polymorphisms and precision medicine. In this manuscript, we benchmark the performance of various machine/deep learning algorithms and polygenic risk ... read more 
bioinformatics

Uncovering genetic mechanisms underlying trait variation in switchgrass using explainable artificial intelligence

bioRxiv Mar 9, 2026
Uncovering the genetic architecture of quantitative traits is challenging because polygenic control yields small individual gene effects and because gene-gene and genotype-by-environment interactions add further complexity. To understand the genetic ... read more 
genetics

A general methodology for liver sinusoid fenestration analysis based on 3D electron microscopy data

bioRxiv Mar 9, 2026
The liver has a complex architecture composed of millions of lobules. Within these lobules, hepatocytes, the main hepatic cells, are organized in rows separated by blood capillaries known as sinusoids. These capillaries are lined by liver sinusoidal ... read more 
cell biology

A Tutorial on Automated Classification of Eye Diseases Using Deep Learning

medRxiv Mar 9, 2026
Sight is one of the five senses essential to human experience, and the eyes are vital organs that require careful protection. These organs are also susceptible to a variety of diseases, some of which may develop without obvious external symptoms, nec... read more 
ophthalmology

Accelerating Exploratory Clinical Research: An LLM-Powered Framework for Cross-Study Data Harmonization and Natural Language Querying

medRxiv Mar 9, 2026
Clinical research depends on high quality data that is standardized, accessible and interoperable. Yet evolving data standards over time and variations in their implementation hinder the secondary use of clinical trial datasets. Although individual s... read more 
health informatics
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