Artificial Intelligence Medical Compendium

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

Showing 20,861 to 20,870 of 216,088 articles

Machine learning and regional homogeneity reveal early and subtle brain changes in type 1 diabetes.

Journal of neuroradiology = Journal de neuroradiologie May 10, 2026
BACKGROUND AND PURPOSE: Type 1 diabetes mellitus (T1DM) usually begins early in life, and its development impacts brain functioning and cognitive processing. The present study examined alterations in spontaneous brain activity in young adults with T1... read more 

SedNet: A physics-informed operator-learning framework for rapid sedimentation velocity analytical ultracentrifugation analysis.

International journal of pharmaceutics May 10, 2026
To date, analyzing data from sedimentation velocity analytical ultracentrifugation (SV-AUC) experiments has exclusively been performed using finite element method or other numerical solver-based techniques. These methods are slow, requiring repeated ... read more 

Predicting length of stay in the pediatric intensive care unit at a tertiary center in Saudi Arabia using machine learning.

International journal of medical informatics May 10, 2026
BACKGROUND: Prolonged stay in pediatric intensive care units (PICUs) is associated with increased mortality risk, elevated healthcare costs, and diminished critical care capacity. Accurate early prediction of length of stay (LOS) may facilitate resou... read more 

CHINTEXDB-PERU28: A unique dataset of traditional textile iconographies from Chinchero, Peru for cultural preservation and image recognition.

Data in brief May 10, 2026
This dataset was collected during on-site fieldwork conducted in the district of Chinchero, located in the province of Urubamba, Cusco, Peru, a region internationally recognized for its rich Andean textile tradition rooted in Inca Culture heritage. T... read more 

Scale matters: Large language models with billions (rather than millions) of parameters better match neural representations of natural language

bioRxiv May 10, 2026
Recent research has used large language models (LLMs) to study the neural basis of naturalistic language processing in the human brain. LLMs have rapidly grown in complexity, leading to improved language processing capabilities. However, neuroscience... read more 
neuroscience

LIME: a fully automated pipeline for high-throughput quantification of leaf lesions

bioRxiv May 10, 2026
Accurate quantification of leaf lesion severity is essential for plant disease research and phenotyping but is often limited by subjective visual scoring and time-intensive manual image analysis. We present LIME, a fully automated, open-source image ... read more 
plant biology

AI-enabled virtual immunopeptidomics links quantitative neoantigen presentation to immunogenicity

bioRxiv May 10, 2026
Effective anti-tumor T cell response depends on both neoantigen quality (non-selfness) and quantity (abundance). However, existing methods for neoantigen prioritization largely overlook peptide abundance because it is difficult to measure and model. ... read more 
bioinformatics

Deep Computational Anatomy via Latent-Aligned Multiview Normalizing Flows

bioRxiv May 10, 2026
In modeling complex probability distributions, normalizing flows provide exact-likelihood, bijective mappings between empirical data and tractable latent spaces. Building on this foundation, latent-aligned multiview normalizing (LAMNr) flows leverage... read more 
bioinformatics

Integrative taxonomy using traits and genomic data for Species Delimitation with Deep learning

bioRxiv May 10, 2026
Recognizing species boundaries in complex speciation scenarios, including those involving gene flow and demographic fluctuations, remains a challenge, particularly given the diversity of existing species concepts. Promising recent approaches adopt an... read more 
evolutionary biology

Interpretable neural networks prioritize cancer driver genes from genome-wide dependency landscapes

bioRxiv May 10, 2026
Identifying cancer driver genes and their therapeutic impact remains a core challenge in computational cancer biology. We introduce xNNDriver and xAEDriver, two interpretable neural network frameworks that connect cancer mutations with genome-wide De... read more 
bioinformatics
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