Steven Kornblau

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Acute Myeloid Leukemia (AML) is a fatal hematological cancer. The genetic abnormalities underlying AML are extremely heterogeneous among patients, making prognosis and treatment selection very difficult. While clinical proteomics data has the potential to improve prognosis accuracy, thus far, the quantitative means to do so have yet to be developed. Here we(More)
Despite wide applications of high-throughput biotechnologies in cancer research, many biomarkers discovered by exploring large-scale omics data do not provide satisfactory performance when used to predict cancer treatment outcomes. This problem is partly due to the overlooking of functional implications of molecular markers. Here, we present a novel(More)
Demo of Algorithms & Clinical Visualization In 2014, there will be 18,860 new cases of acute myeloid leukemia (AML), and 10,460 deaths from AML. There is urgency in finding better treatments for this type of leukemia, as only about a quarter of the patients diagnosed with AML survive beyond 5 years. The goal of the 2014 DREAM 9 Acute Myeloid Leukemia (AML)(More)
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