Review STATs Signaling Pathways in Acute Pancreatitis: Mechanisms and Regulation Full text PDF
Research Paper Identifying key bioprocess variables using explainable machine learning to enhance culture efficiency and viability of umbilical cord-derived mesenchymal stem cells Full text PDF
Research Paper Comparative effects of remimazolam and propofol on intraoperative redistribution hypothermia in urologic surgery: a retrospective propensity-matched cohort study Full text PDF
Research Paper Unraveling Research Trends and Hotspots of Genetic Variants in Acute Leukemias: A Web of Science and Scopus-Based Bibliometric Study Full text PDF
Research Paper Risk Factors for Anti-Glaucoma Surgery in Posner-Schlossman Syndrome Patients: an 8-Year Retrospective Study Full text PDF
Research Paper Fermented Lactobacillus plantarum GKD7 prevents osteoarthritis pain and progression in a preclinical in vivo model Full text PDF
Issue 4; 2026
Indexed in MEDLINE, PubMed, EMBASE, CAS/Chemical Abstracts, CAB Abstracts, Scopus, Science Citation Index (SCI) Expanded ....
Full texts of articles appear in PubMed Central and Europe PMC.
Background: Human umbilical cord-derived mesenchymal stromal/stem cells (UC-MSCs) are promising for regenerative medicine, but consistent manufacturing quality is critical. Objective: To develop and interpret machine-learning models (Extreme gradient boosting (XGBoost), with Shapley Additive Explanations, SHAP) that identify facilitatory and inhibitory factors affecting UC-MSC culture duration and post-processing viability. Methods: We analyzed data ...