Results 241 to 250 of about 528,840 (339)
Case of Occlusion of the Arteries Arising from the Arch of the Aorta, with Aortic Degeneration and Aneurisms [PDF]
Charles W. Parsons
openalex +1 more source
This study examined the impact of tumor location on lymph node metastasis (LNM) patterns and the efficacy of lymph node dissection in rectal cancer. Analyzing 882 patients who underwent total mesorectal excision with lateral lymph node dissection, we found that mesenteric LNM rates were higher in tumors located more orally, whereas lateral LNM rates ...
Tomofumi Uotani+6 more
wiley +1 more source
Chronic Pod-Mod E-Cigarette Aerosol Exposure Induces Aortic Dysfunction in Hypercholesterolemic Mice: Role of Oxidative Stress and Inflammation. [PDF]
Farra YM+11 more
europepmc +1 more source
Problems in the Surgical Management of Acute Dissecting Aneurysm of the Aorta
W. Dean Warren+2 more
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This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo+3 more
wiley +1 more source
A pilot study on the effect of severe sleep fragmentation on aorta remodelling, neuroinflammation in a rat model. [PDF]
Nathalie P+6 more
europepmc +1 more source
Advancements in Machine Learning for Microrobotics in Biomedicine
Microrobotics is an innovative technology with great potential for noninvasive medical interventions. However, controlling and imaging microrobots pose significant challenges in complex environments and in living organisms. This review explores how machine learning algorithms can address these issues, offering solutions for adaptive motion control and ...
Amar Salehi+6 more
wiley +1 more source
The accumulation of progerin underlies the loss of aortic smooth muscle cells in Hutchinson-Gilford progeria syndrome. [PDF]
Kim PH+9 more
europepmc +1 more source
This study proposes RefineCatDiff, a refinement framework for high‐quality medical image segmentation. By developing a categorical distribution‐based discrete diffusion process for refinement, the framework aligns well with the characteristics of image segmentation tasks. Experimental results on multiple datasets across different modalities demonstrate
Feng Liu+8 more
wiley +1 more source