Tool to better classify tumor cells developed for personalized cancer treatments
Thursday, December 11, 2014 - 15:30
in Health & Medicine
A new statistical model may enable physicians to create personalized cancer treatments for patients based on the specific genetic mutations found in their tumors. The model uses an advanced algorithm to identify the multiple genetic cell subtypes typically found in solid tumors by analyzing gene expression data from a small biopsy sample. The results can help shape more effective treatments and also guide future research.