The AI combines data from multiple platforms to identify potential therapeutic targets.
lab and has been provided for clinical use via a web portal. Omics information can be imported into the portal, and classification information can be obtained for multiple tumors, readily applicable to patient care.Although the machine learning tool has been developed for glioblastoma multiforme, it can also be used for breast, lung, and pediatric brain tumors. The same master kinases were found to befor these cancer types.
Despite numerous drug therapies, glioblastoma prognosis has seen little improvement over the years, with survival rates below ten percent. However, the optimistic findings of this and similar studies may help doctors close the gaps towards better treatment and care, significantly impacting public health.
The study was a collaboration between researchers from the Institute for Cancer Genetics, Columbia University, and Sylvester Comprehensive Cancer Center, the University of Miami, Miller School of Medicine. The study was published in theDespite producing a panoply of potential cancer-specific targets, the proteogenomic characterization of human tumors has yet to demonstrate value for precision cancer medicine.
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