Artificial Intelligence Medical Compendium

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

Showing 38,151 to 38,160 of 223,469 articles

TOGGLE delineates fate and function within individual cell types via single cell transcriptomics

bioRxiv
Cells that appear transcriptionally identical can maintain vastly different functions or fate, an enduring blind spot in single-cell transcriptomics. Here we introduce TOGGLE, a self-supervised graph diffusion framework that delineates fine-grained f... read more 

A new iterative framework for simulation-based population genetic inference with improved coverage properties of confidence intervals

bioRxiv
Simulation-based methods such as approximate Bayesian computation (ABC) are widely used to infer the evolutionary history of populations from molecular genetic data. We describe and evaluate a new iterative method of statistical inference about model... read more 

EEG Foundation Model Improves Online Directional Motor Imagery Brain-computer Interface Control

bioRxiv
Brain-Computer interfaces (BCIs) offer a link between neural signals and external computation, enabling control of devices for the purposes of restoring function to motor-affected individuals and enhancing capabilities of a wider set of populations. ... read more 

GYDE: A collaborative drug discovery platform for AI-powered protein design and engineering

bioRxiv
As computational tools and machine learning models for protein sciences continue to advance and proliferate, bench scientists face increasing technical challenges adopting these tools for specific applications such as drug discovery. Here we present ... read more 

A Deep-Learning Atlas of XPO1-Mediated Nuclear Export at Proteome Scale

bioRxiv
Exportin 1 (XPO1/CRM1) is the principal nuclear export receptor for cargos bearing hydrophobic nuclear export sequences (NESs). Dysregulation of XPO1-dependent export is implicated in cancer, neurodegeneration, and other diseases, yet a comprehensive... read more 

MEIsensor: a deep-learning method for mobile element insertion discovery

bioRxiv
Mobile element insertions (MEIs) are a critical source of structural variation in the human genome, yet their accurate detection remains challenging, particularly within repetitive regions and for structurally complex insertions. While long-read sequ... read more 

IDPForge: Deep Learning of Proteins with Global and Local Regions of Disorder

bioRxiv
Although machine learning has transformed protein structure prediction of folded protein ground states with remarkable accuracy, intrinsically disordered proteins and regions (IDPs/IDRs) are defined by diverse and dynamical structural ensembles that ... read more 

Activation mechanism of class A GPCRs: machine learninganalysis of experimental structural databases

bioRxiv
Recent advances in cryo-electron microscopy and cryo-electron omography have dramatically increased the number of class A G protein-coupled receptor (GPCR) structures, especially in previously inaccessible G protein-bound, active-like conformations. ... read more 

Cortical gray matter density at age five associated with preceding early longitudinal language profiles: A Voxel-based morphometry analysis of the FinnBrain Birth Cohort Study

bioRxiv
Previous studies exploring the connection between early language development and brain anatomy have shown that cortical areas relating to individual differences in language skills are diverse and vary depending on the age of child. However, due to la... read more 

SuperSurv: A Unified Framework for Machine Learning Ensembles in Survival Analysis

bioRxiv
This paper introduces SuperSurv, a user-friendly R package for building, evaluating, and interpreting ensemble models for right-censored survival data. Although many survival modeling methods are available, existing tools are often model-specific and... read more