Collagen Matrix Versus Subepithelial Connective Tissue for Recession Coverage: A Systematic Review.

Objective: To evaluate the outcome of collagen matrix (CMX) compared with subepithelial connective tissue graft (SCTG) in gingival recession coverage (RC) surgery.

Methods: Review protocol was registered in PROSPERO. The search was conducted on MEDLINE, Cochrane Library, and Scopus databases.

Quantification of hemi-hepatic ischemia using real-time multispectral oxygenation imaging with single snapshot imaging of optical properties (SSOP).

Background: Identifying liver ischemia is crucial in liver surgery. This study aimed to develop a hemi-hepatic ischemia model for assessing liver ischemia using single snapshot imaging of optical properties (SSOP), a noninvasive optical imaging modality that provides real-time measurements of tissue oxygen saturation (StO2).

Materials And Methods: Twelve swine were randomly assigned to two groups: One undergoing total vascular inflow occlusion (TVIO) and the other undergoing hepatic artery occlusion (HAO).

Matrix metalloprotease-7 is associated with post-COVID-19 persistent lung abnormalities.

https://bit.ly/4etsvk5.

Prenatally Diagnosed Holoprosencephaly: Review of the Literature and Practical Recommendations for Pediatric Neurologists.

Holoprosencephaly (HPE) is one of the most common malformations in embryonic development. HPE represents a continuum spectrum that involves the midline cleavage of forebrain structures. Facial malformations of varying degrees of severity are also observed.

On the ability of the LR method to detect bias when there is pedigree misspecification and lack of connectedness.

Background: Cross-validation techniques in genetic evaluations encounter limitations due to the unobservable nature of breeding values and the challenge of validating estimated breeding values (EBVs) against pre-corrected phenotypes, challenges which the Linear Regression (LR) method addresses as an alternative. Furthermore, beef cattle genetic evaluation programs confront challenges with connectedness among herds and pedigree errors. The objective of this work was to evaluate the LR method's performance under pedigree errors and weak connectedness typical in beef cattle genetic evaluations, through simulation.