Results 271 to 280 of about 798,516 (356)
The environmental impact of energy consumption and carbon emissions in radiology departments: a systematic review [PDF]
Andrea Roletto +5 more
openalex +1 more source
Advanced Science, EarlyView.Legumain (LGMN) is upregulated in macrophages during sarcoid‑like granuloma formation. Macrophage‑derived LGMN binds to integrin αvβ3 and suppresses mTORC1/STAT1 signaling to restrain M1 macrophage polarization. Intratracheal delivery of lipid nanoparticles carrying Lgmn plasmid DNA (pDNA) elevates LGMN expression and effectively attenuates pulmonary ...
Mengyuan Liu +12 more
wiley +1 more source
Advanced Science, EarlyView.BiSCALE: A pathology‐driven deep learning framework for multi‐scale gene expression prediction from whole‐slide images. It accurately infers bulk and near‐cellular spot‐level expression, links predictions to clinical phenotypes, identifies disease‐associated niches, and enables applications in risk stratification and cell‐identity annotation, providing
Hailong Zheng +8 more
wiley +1 more source
Novel Vascular‐Adaptive Liquid Metal Microspheres Enable Visualized Arterial Embolization Therapy
Advanced Science, EarlyView.We present drug‐loaded liquid metal microspheres (X‐MEN) as a novel agent for image‐guided arterial embolization. With inherent radiopacity and superior deformability, X‐MEN enables real‐time monitoring and conforms tightly to irregular vessels. This approach ensures precise, long‐lasting embolization without recanalization, addressing critical ...
Chenyu Shen +14 more
wiley +1 more source
Advanced Science, EarlyView.Sepsis‐associated acute kidney injury is driven by oxidative stress, NETs overproduction, and dysregulated innate immunity. Here, we develop neutrophil‐mimetic nanoscavengers that integrate ROS‐scavenging Mn3O4 nanozymes with DNase‐1‐mediated NETs degradation to suppress cGAS‐STING signaling, reprogram macrophage polarization, and effectively alleviate
Zening Zhang +9 more
wiley +1 more source
Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy
Advanced Science, EarlyView.Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu +4 more
wiley +1 more source