The image shows the SPHINKS network for the precision targeting of master kinases in glioblastoma. Credit: Antonio Iavarone, M.D.
A team at the University of Texas at Austin has developed an AI algorithm that could provide new insights into glioblastoma, a highly lethal form of brain cancer. The algorithm was trained on gene expression data from patients with glioblastoma, and can help researchers identify key genes that are associated with the disease’s progression.
According to the lead author of the study, Dr. Miao Zhang, “Glioblastoma is a complex disease that has been challenging to treat. By using AI to analyze large amounts of genetic data, we have been able to identify new insights into the underlying biology of the disease. This could help us identify new targets for therapy and improve outcomes for patients.”
Continue reading… “AI Algorithm Provides New Insights Into Deadly Brain Cancer”
