Can machine learning glean useful information from whole genome analysis faster than conventional approaches? And, more crucially, can that help lead to better treatment for cancer patients? A new study published by researchers at the New York Genome Center (NYGC), The Rockefeller University and IBM suggests that the answer to those questions may be yes.