Results 211 to 220 of about 1,592,983 (303)

Understanding the Role of Yes-Associated Protein (YAP) Signaling in the Transformation of Lens Epithelial Cells (EMT) and Fibrosis. [PDF]

open access: yesBiomolecules, 2023
Taiyab A   +6 more
europepmc   +1 more source

Rethinking Perioperative Corticosteroids in Esophageal Cancer Surgery: Evidence From an Integrative Meta‐Analysis

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Esophagectomy remains a highly invasive procedure associated with substantial postoperative morbidity. Pulmonary complications, anastomotic leakage, and in‐hospital mortality are of particular concern. Perioperative corticosteroids are often administered to attenuate excessive inflammatory responses; however, the clinical impact in ...
Tomohiko Yasuda   +4 more
wiley   +1 more source

Alcohol Consumption Is a Risk Factor of Surgical Site Infection After Minimally Invasive Surgery: A Secondary Observational Analysis of a Clinical Trial

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Alcohol consumption was independently associated with Surgical Site Infection in the gastroenterological Minimally Invasive Surgery. Whether preoperative abstinence from alcohol prevents the occurrence of SSI warrants further investigation. ABSTRACT Background Surgical site infection (SSI) is one of the postoperative complications. Risk factors for SSI
Toshiya Akai   +9 more
wiley   +1 more source

Targeting the Hippo Pathway in Breast Cancer: A Proteomic Analysis of Yes-Associated Protein Inhibition. [PDF]

open access: yesInt J Mol Sci
Yanar S   +5 more
europepmc   +1 more source

Can Machine Learning Reduce Unnecessary Surgeries? A Retrospective Analysis Using Threshold Optimization to Prevent Negative Appendectomies in Adults

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males   +8 more
wiley   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy