Results 161 to 170 of about 609,091 (212)
Impact of COVID-19 Pandemic on Radiology Department Employees and Trainees in Al-Qassim, 2021. [PDF]
Albweady A +6 more
europepmc +1 more source
Trypsinogen‐loaded nanoparticles reprogram TAMs via NF‐κB/NLRP3, driving M2→M1 conversion and potent phagocytosis to unleash antitumor immunity. ABSTRACT Although reprogramming tumor‐associated macrophages (TAMs) represents a promising therapeutic strategy, approaches that are both precise and safe remain scarce.
Lei Cao +7 more
wiley +1 more source
Identifying delays in the outpatient interventional radiology department: a quality improvement study. [PDF]
Kilgour J, McLean G, Paul E, Knight R.
europepmc +1 more source
Radiology department preparedness for COVID-19 - experience of a central-London hospital. [PDF]
Glover T +9 more
europepmc +1 more source
The microalgae‐nanoparticle hybrid system with antibacterial activity can improve the oral delivery and therapeutic efficiency for hepatic encephalopathy treatment. Oral administration of the system can reduced systemic ammonia levels, enhanced intestinal barrier function, attenuated systemic and neuroinflammation, ameliorated cognitive impairments ...
Kaiyue Wang +8 more
wiley +1 more source
A 360-degree evaluation of the professionalism and communication skills of technologists working in the radiology department of a public sector tertiary care hospital in Karachi, Pakistan. [PDF]
Rafiq N +6 more
europepmc +1 more source
Prevention and control measures in radiology department for COVID-19. [PDF]
Ding J +15 more
europepmc +1 more source
A nebulized nanoassembly alleviates radiation‐induced lung injury by reprogramming macrophages through coordinated ROS scavenging, NAD+ replenishment, and PPAR‐γ activation. Redox balance, mitochondrial homeostasis, and immune regulation are restored, revealing a microenvironment‐centered strategy for localized radioprotection.
Mingquan Gao +11 more
wiley +1 more source
Assessing the Adherence to Safety Protocol Among Personnel Working in the Dental Radiology Department: A Qualitative Cross-Sectional Study. [PDF]
Panchbhai AS, Sonar PR.
europepmc +1 more source
This study develops a multi‐dimensional vision Transformer‐based model, GAVR, to accurately distinguish gastric cancer T4a/b stages preoperatively. Validated across multi‐center cohorts, it achieves excellent performance and significantly improves radiologists’ diagnostic accuracy, offering a promising tool for clinical decision‐making.
Guoliang Zheng +20 more
wiley +1 more source

