Supplementary Information from A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia | Synapse
July 15, 2025
Supplementary Information from A Machine Learning–Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia
Key Points
Machine learning predicts selective drug combinations for relapsed acute myeloid leukemia.
The approach reveals synergistic effects among various drug pairings, enhancing treatment efficacy.
Data from supplementary results supports the method’s predictive capabilities with detailed analysis.
This advancement could lead to personalized therapy strategies for patients with relapsed acute myeloid leukemia.