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Potential of ginsenoside Rg1 to treat aplastic anemia via mitogen activated protein kinase pathway in cyclophosphamide-induced myelosuppression mouse model

Refining adipose-derived stem cell isolation for optimal regenerative therapy

Resilience and challenges: Evaluating the impact of stress conditions on mesenchymal stem cells across different passages

Melatonin-based priming of stem cells to alleviate oxidative stress

Effects of miR-214-5p and miR-21-5p in hypoxic endometrial epithelial-cell-derived exosomes on human umbilical cord mesenchymal stem cells

Efficacy of serum-free cultured human umbilical cord mesenchymal stem cells in the treatment of knee osteoarthritis in mice

Exosome-based strategy against colon cancer using small interfering RNA-loaded vesicles targeting soluble a proliferation-inducing ligand

Yes-associated protein-mediated melatonin regulates the function of periodontal ligament stem cells under oxidative stress conditions

Can We Avert the Looming Food Crisis of Climate Change?

Embedding Owner-Manager Values in the Small and Medium Sized Enterprise Context: A Lockean Conceptualisation

26 Nov, 2024

Researchers Show That a Machine Learning Model Can Improve Mortality Risk Prediction for Cardiac Surgery Patients

May 17, 2023 sarah JonasResearch Results

A machine learning-based model that enables medical institutions to predict the mortality risk for individual cardiac surgery patients has been developed by a Mount Sinai research team, providing a significant performance advantage over current population-derived models.