Machine learning model opens door to real-time detection of cell therapy contamination Researchers at the Massachusetts Institute of Technology’s Singapore site have developed a new way to detect adventitious microbial contamination in mesenchymal stromal cell cultures. By using machine learning to predict if a culture is contaminated in near real-time, the approach could enable testing to take place during the production of cell therapy products.Read More
Endosomal pH drives stemness in glioblastoma A group of researchers has shown that endosomal pH drives stemness in glioblastoma. The group discovered that endosomal Na+/H+ exchanger isoform 9 is a novel driver of stem cell-like characteristics -- or stemness -- in glioblastoma by stabilizing multiple receptor tyrosine kinases, according to a recent paper published in PNAS Nexus.Read More