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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11701734 | PMC |
| http://dx.doi.org/10.1093/nar/gkae979 | DOI Listing |
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Combination therapies have emerged as a promising approach for treating complex diseases, particularly cancer. However, predicting the efficacy and safety profiles of these therapies remains a significant challenge, primarily because of the complex interactions among drugs and their wide-ranging effects. To address this issue, we introduce DD-PRiSM (Decomposition of Drug-Pair Response into Synergy and Monotherapy effect), a deep-learning pipeline that predicts the effects of combination therapy.
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