FASEB journal : official publication of the Federation of American Societies for Experimental Biology
Jan 31, 2026
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
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
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
Food research international (Ottawa, Ont.)
Jan 31, 2026
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
Neural networks : the official journal of the International Neural Network Society
Jan 31, 2026
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
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Jan 31, 2026
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
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
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
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
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
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