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Ancient Viral DNA in the Genome May Help Predict Chemotherapy Response in AML
Key Takeaways
- King's College London researchers trained AI models to predict which AML patients would respond to chemotherapy.
- The study analyzed data from 271 patients with acute myeloid leukemia who received standard chemotherapy.
- Three multilayer machine-learning models were built, each adding different types of clinical and biological data.
- The final model included activity data for endogenous retroviruses (ERVs), ancient viral sequences embedded in the genome.
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DT Editorial Team··via medicalxpress.com