Ancient viral remnants in our genome may help predict response to chemotherapy

In a new study, researchers from King's College London trained AI models on multiple types of clinical and biological data to determine whether they could predict which patients with acute myeloid leukemia (AML) would respond to chemotherapy. They found that behavior related to ancient viral sequences in the genome was associated with a poor response to treatment and that including this information made the models more accurate.

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