Background: This study aims to develop an oral microbiota-based model for gastric cancer (GC) risk stratification and prognosis prediction.
Methods: Oral microbial markers for GC prognosis and risk stratification were identified from 99 GC patients, and their predictive potential was validated on an external dataset of 111 GC patients. The identified bacterial markers were used to construct a Deep Neural Network (DNN) model, a Random Forest (RF) model, and a Support Vector Machine (SVM) model for predicting GC prognosis.
To understand the effects of compound curing agent (60 % NaCl+40 % KCl + 90 mg/kg NaNO) on the protein characteristics and proteome of Nuodeng ham, the protein structure, oxidation, degradation, and proteomic changes of Nuodeng ham were analyzed. The results showed that the hydrophobic and disulfide bonds were the main forces to maintain the stability of the ham protein. The compound curing agent reduced protein oxidation and promoted the transformation of the α-helix structure to the β-sheet structure.
View Article and Find Full Text PDFPurpose: To report on in-vivo intrarenal pressure (IRP) during flexible ureteroscopy for treatment of kidney stones while using the novel flexible and navigable suction ureteral access sheath (FANS).
Methods: A retrospective observational analysis was performed for 25 patients undergoing routine flexible ureteroscopy for treatment of renal stones between February 2024 and June 2024 from two centres in Canada. The LithoVue Elite™ ureteroscope (Boston Scientific Corp.
Purpose: We aimed to analyze frequently searched questions through Google's "People Also Ask" feature related to four common treatments for developmental dysplasia of the hip (DDH): the Pavlik harness, rhino brace, closed reduction surgery and open reduction surgery.
Methods: Search terms for each treatment were entered into Google Web Search using a clean-install Google Chrome browser. The top frequently asked questions and associated websites were extracted.