Results 181 to 190 of about 215,346 (265)
Microbiota‐targeted therapeutic strategies in hematological disorders. aHSCT: Transplanted immune cells from the donor may attack the recipient's tissues, especially when damage to the intestinal epithelium disrupts the gut microbiota, contributing to GVHD. Maintaining a balanced gut microbiota that supports immune regulation helps reduce GVHD risk and
Alireza Molajafari +3 more
wiley +1 more source
Phototherapy, Morbidity, and Mortality in Very Preterm Newborns.
Deschmann E +3 more
europepmc +1 more source
Ursodeoxycholic Acid in the Management of Prolonged Neonatal Hyperbilirubinemia: A Randomized Controlled Clinical Trial. [PDF]
Tabrizi M +5 more
europepmc +1 more source
Post-Surgical Remodeling of Circulating Monocytes Identifies CD86 Expression on Non-Classical Monocytes as a Prognostic Indicator in Pancreatic Ductal Adenocarcinoma. [PDF]
Arnold LS +18 more
europepmc +1 more source
THE IDENTIFICATION OF “DIRECT-REACTING” BILIRUBIN AS BILIRUBIN GLUCURONIDE
openaire +2 more sources
ABSTRACT Background and Purpose While normothermic machine perfusion (NMP) has benefits over static cold storage (SCS), its efficacy in high‐acuity recipients with high Model for End‐Stage Liver Disease (MELD) scores, particularly using a back‐to‐base application model, is not well established.
Yuzuru Sambommatsu +9 more
wiley +1 more source
Dubin-Johnson and Rotor Syndromes: A Review and Update of Pathophysiological Mechanisms. [PDF]
Thakkar B, Wu GY.
europepmc +1 more source
Early prediction of multiple organ failure for sepsis patients based on machine learning algorithms
Abstract In recent years, there has been a notable rise in sepsis incidence leading to more multiple organ failure and higher mortality. The lack of effective treatments for sepsis highlights the importance of early prediction in preventing multiple organ failure. This study aimed to develop a model for the early prediction of multiple organ failure in
Runnan He +11 more
wiley +1 more source
The Impact of <i>UGT1A1</i> Genetic Variability on Enzyme Expression in Liver Pathology. [PDF]
Szeląg-Pieniek S +5 more
europepmc +1 more source
Abstract Acute kidney injury (AKI) is a common and severe complication of rhabdomyolysis (RM), and early risk stratification remains challenging because of its multifactorial and heterogeneous nature. We developed and externally validated an interpretable machine learning (ML) model for early prediction of AKI in RM across traumatic and non‐traumatic ...
Chunli Liu +11 more
wiley +1 more source

