CONTEXT: The elucidation of molecular structures and properties typically relies on the integration of multiple spectroscopic techniques, which provide rich structural information from complementary perspectives. Although the synergistic analysis of ... read more
BACKGROUND: Laparoscopic Roux-en-Y gastric bypass (LRYGB) is a cornerstone of bariatric surgery, yet its complexity poses challenges in visualization and retraction, often compounded by variability in surgical assistance. The Maestro™ is an Artificia... read more
PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. However, treatment outcomes may be influenced by immunological drug-drug interactions (DDIs) arising fro... read more
OBJECTIVES: This study aimed to develop a super lightweight deep learning model for brain age estimation using structural MRI, enabling accurate age estimation with minimal computational cost for deployment in resource-constrained clinical settings. ... read more
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
May 14, 2026
The efficient and unbiased isolation of small extracellular vesicles (sEVs) from complex biological fluids remains a major obstacle for clinical diagnostics. Here, we report a bioinspired microfluidic chip that integrates a three-dimensional high-cur... read more
Experimental and clinical psychopharmacology
May 14, 2026
Delay discounting (a preference for smaller immediate rewards vs. larger delayed rewards; DD) is a transdiagnostic risk factor for health outcomes including substance use disorders, obesity, and others. Studies have identified numerous individual-lev... read more
We propose that anthropomorphism plays a central role in producing gratitude for nonhuman entities from humans. Colloquially called personification, anthropomorphism occurs when humans attribute agency to nonhumans, enabling the latter to act upon th... read more
Journal of veterinary medical education
May 14, 2026
This study introduces an artificial intelligence-human-in-the-loop (AI-HITL) process to create an instrument for evaluating the quality of learning outcomes (LOs) in a veterinary curriculum. Although clear LOs are essential for competence-based educa... read more
This article addresses the mean-square exponential synchronization problem of reaction-diffusion neural networks (RDNNs) subject to stochastic switching and communication constraints. Different from existing Markov jump formulations that require exac... read more
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