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ESH AL 2018 | Understanding gene-gene interactions via machine learning: Pandora’s box?

Speaking from the 2018 European School of Hematology (ESH) Clinical Updates on Acute Leukemias, held in Budapest, Hungary, Andrew Wei, MBBS, PhD, FRACP, FRCPA, from Monash University, Melbourne, Australia, discusses the benefits of machine learning technology, which can empirically perform thousands of experiments within seconds. Specific algorithms can be applied to discover the positive and negative gene-gene interactions that occur in patients in order to determine treatment options and prognosis.

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