Results 101 to 110 of about 178,134 (306)
Jing Zhou,1 Hongying Pi,2 Yingying Zheng1 1General Surgery, 2Nursing Department, Chinese People’s Liberation Army General Hospital, Beijing, People’s Republic of China Background: Abdominal cavity drainage fluid can be used as an early ...
Zhou J, Pi H, Zheng Y
doaj
Ventriculoperitoneal shunt malfunction is frequently observed, with the ventriculoperitoneal shunt fracture being a prevalent etiology. The occurrence of ventriculoperitoneal shunt malfunction is approximately 40% in the first year after implantation and
Bal’afif F. +4 more
doaj +1 more source
IR‐induced dysbiosis depletes P. coprophilus and its metabolite 6‐methyluracil, leading to disinhibition of the IDO1‐Kyn‐AHR axis. This results in sustained fibroblast activation and collagen deposition, driving radiation induced intestinal fibrosis. ABSTRACT Therapeutic options for radiation‐induced intestinal fibrosis (RIF) remain limited. This study
Jiaxin Zhang +11 more
wiley +1 more source
Comparison of DWIBS/T2 image fusion and PET/CT for the diagnosis of cancer in the abdominal cavity
M. Tomizawa +18 more
openalex +2 more sources
Evaluation of Efficacy and Safety of Adept Drug for Prevention of Adhesions in the Abdominal Cavity in Experiment [PDF]
И. А. Шурыгина +2 more
openalex +1 more source
Beyond the abdominal and pelvic cavity: abdominal wall and spinal “Aunt Minnies” [PDF]
Ryan Thompson +7 more
openalex +1 more source
This study presents a glutathione (GSH)‐activatable dual‐modality probe (GAP9) with a redox‐tuned activation window for precise tumor detection. It remains quenched (“OFF”) in normal tissue yet activates specifically in tumors for T1‐weighted magnetic resonance imaging (MRI) preoperative mapping and near‐infrared II (NIR‐II) fluorescence intraoperative
Haohao Yan +4 more
wiley +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source

