Artificial Intelligence Medical Compendium

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

Showing 58,201 to 58,210 of 227,634 articles

HYALINE: Geometric Deep Learning for Accurate Prediction of G Protein-Coupled Receptor Activation States from Structure

bioRxiv Jan 26, 2026
Characterizing the conformational landscapes of G protein-coupled receptors (GPCRs) is fundamental to understanding signal transduction and accelerating rational drug design. However, current computational approaches often rely on static sequence ana... read more 
bioinformatics

Temporal Dynamics of EEG Decoding for Continuously Changing Visual Stimuli

bioRxiv Jan 26, 2026
Multivariate analyses of M/EEG data are typically performed on neural responses time-locked to discrete stimulus onsets. Such designs usually reveal high decoding performance during the initial transient response (0-500 ms), which subsequently drops ... read more 
neuroscience

A Population Vector Model of Visual Working Memory for Real-World Scenes

bioRxiv Jan 26, 2026
Visual working memory is essential for navigating through and interacting with complex real-world environments. It is therefore important to understand how natural visual inputs - characterized by complex contours, continuously varying feature gradie... read more 
neuroscience

ProChoreo: De novo Binder Design from Conformational Ensembles with Generative Deep Learning

bioRxiv Jan 26, 2026
Deep learning has transformed protein structure prediction and de novo protein design; however, most existing frameworks operate on a single static conformation and underutilize the conformational heterogeneity that governs protein binding and functi... read more 
bioinformatics

Neural Signatures of Post-Decision Outcome Expectation and Evaluation in Human Sensorimotor Choice Behavior

bioRxiv Jan 26, 2026
The concept of embodied sensorimotor decision-making proposes that processes implicated in evaluating sensory inputs and selecting appropriate motor actions unfold partly in cortical regions traditionally associated with movement planning and executi... read more 
neuroscience

Comparing optimal transport and machine learning approaches for databases merging in scenarios involving missing data in covariates.Application to Medical Research

bioRxiv Jan 26, 2026
Motivation: One of the challenges encountered when merging heterogeneous observational clinical datasets is the recoding of categorical target variables that may have been measured differently across data sources. Standard machine learning-based appr... read more 
bioinformatics

Predicting Gene Disease Associations in Type 2 Diabetes Using Machine Learning on Single-Cell RNA-Seq Data

bioRxiv Jan 26, 2026
Diabetes is a chronic metabolic disorder characterized by elevated blood glucose levels due to impaired insulin production or function. Two main forms are recognized: type 1 diabetes (T1D), which involves autoimmune destruction of insulin-producing {... read more 
bioinformatics

SqueakPose Studio: An end-to-end platform for pose estimation and real-time edge-AI deployment

bioRxiv Jan 26, 2026
Accurate pose estimation underpins quantitative analysis of behavior, yet many deep learning-based tracking tools remain optimized for offline workflows that rely on fragmented software pipelines, workstation-grade GPUs, or external middleware to ena... read more 
neuroscience

LocAlign: Local Protein Structural Alignment with Geometric Deep Learning

bioRxiv Jan 26, 2026
Identifying common function-determining structural motifs among proteins with different folds is a foundational task in computational biology with no go-to solution. Indeed, standard alignment tools like TM-align are ill-suited for matching small, se... read more 
bioinformatics

Transcriptomic profiling reveals neurophysiological gene candidates underlying vocal evolution in African clawed frogs

bioRxiv Jan 26, 2026
Neurophysiologists have discovered many mechanisms underlying the production of animal behaviors in specific species; these involve a collection of neuromuscular systems, neuronal membrane and neural network properties, as well as the hormones and ne... read more 
neuroscience
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