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

In a caller study, researchers from King's College London trained AI models connected aggregate types of objective and biologic information to find whether they could foretell which patients with acute myeloid leukemia (AML) would respond to chemotherapy. They recovered that behaviour related to past viral sequences successful the genome was associated with a mediocre effect to attraction and that including this accusation made the models much accurate.