How can big data help to better classify acute myeloid leukemia subtypes?
How can big data help to better classify acute myeloid leukemia subtypes?
During the 25th Congress of the European Hematology Association (EHA), KnowAML spoke to Lars Bullinger, Charité – Universitätsmedizin Berlin, Berlin, DE. The term 'acute myeloid leukemia' covers many different disease states, and individual cases are characterized by genetic aberrations, which cause the transition from normal cells to cancer cells. Efforts have been made to better understand these differences. As a result, treatments are now more personalized to individual patients, and improved patient outcomes have been observed.
