Artificial Intelligence Medical Compendium

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

Showing 56,221 to 56,230 of 226,846 articles

Integrative Transcriptomic and Bioinformatics Approaches Combined With Transformer Models Identify Key Gene Networks in Atherosclerosis.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology
This study aimed to prioritize candidate transcriptomic mediators associated with human atherosclerosis progression by integrating transformer-based deep learning with classical bioinformatics and experimental validation. Gene expression profiles fro... read more 

A Multimodal Multitask Artificial Intelligence Model for Orthokeratology Contact Lens Fitting: An Integrated Framework to Enhance Lens Centration and Myopia Control Effect.

Ophthalmology science
PURPOSE: To develop a multimodal, multitask artificial intelligence (AI) model to classify postfitting corneal topography patterns and predict axial length (AL) growth, while simultaneously outputting optimal orthokeratology (ortho-K) lens parameters... read more 

A Deep Learning Framework for Predicting Teprotumumab Treatment Response in Thyroid Eye Disease.

Ophthalmology science
PURPOSE: To develop and evaluate a deep learning-based framework for quantifying thyroid eye disease (TED) severity before and after teprotumumab treatment, an insulin-like growth factor-1 receptor inhibitor, and to create a predictive model for fore... read more 

Exploring the impact of dietary extracellular vesicles on gut health: homeostasis, barrier defense, immunity, and signaling pathways.

Food research international (Ottawa, Ont.)
Dietary extracellular vesicles (D-EVs), which are nanoscale extracellular vesicles derived from edible food sources such as plants, animals, and microorganisms, have emerged as key regulators of gut health, influencing microbiota composition, intesti... read more 

Event-triggered decentralized adaptive critic learning control for interconnected systems with nonlinear inequality state constraints.

Neural networks : the official journal of the International Neural Network Society
In this paper, an event-triggered decentralized adaptive critic learning (ACL) control method is proposed for interconnected systems with nonlinear inequality state constraints. First, by introducing a slack function, the nonlinear inequality state c... read more 

Can ChatGPT-4o handle the heat? Benchmarking AI against clinicians in initial burn care: A single-blinded comparative analysis.

Journal of plastic, reconstructive & aesthetic surgery : JPRAS
INTRODUCTION: Artificial intelligence (AI) tools such as ChatGPT are increasingly accessed by the public for health-related advice; however, their accuracy in acute burn management remains uncertain. We aimed to assess the domain-specific accuracy an... read more 

Multi-omics and machine learning-based profiling of severity signatures in Mycoplasma pneumoniae infection in children.

iScience
Mycoplasma pneumoniae pneumonia (MPP) is a common respiratory infection in children; however, the mechanisms driving its progression to severe disease remain poorly understood. This study employs a comprehensive proteomic and metabolomic approach to ... read more 

Contrastive learning of dynamic processing body formation reveals undefined mechanisms of approved compounds.

iScience
Membraneless organelles (MLOs) are liquid-like compartments that organize cellular functions through liquid-liquid phase separation of proteins and RNA. Their regulation is crucial for RNA metabolism, stress response, and signaling, yet leveraging th... read more 

DynaPIN: A Tool for Characterizing Dynamic Protein Interfaces

bioRxiv
Static structural models often fail to capture the dynamic mechanisms of protein interactions. To address this, we introduce DynaPIN, an open-source pipeline for extracting dynamic interface fingerprints from molecular simulations. DynaPIN unifies qu... read more 

Tissue-to-Analysis Framework Enables Multiscale Mapping of the Architectural and Cellular Organization in the Human Dorsal Root Ganglion

bioRxiv
Transcriptomic studies have helped us understand the dorsal root ganglia's cellular milieu, yet our knowledge of protein expression and spatial organization/architecture remains less defined. Here we establish a comprehensive resource from processing... read more