Medical Xpress February 4, 2025
A new computational tool could help researchers identify promising drug combinations for treating cancer, according to a new study.
The research, published as a Reviewed Preprint in eLife, is described by the editors as an important and timely study, with the potential to revolutionize personalized cancer treatment strategies by providing a method to predict effective drug combinations to treat the disease. They say the strength of evidence for the effectiveness of the tool, named “retriever,” is solid.
Developing new cancer treatments is an expensive and time-consuming process. Drug discovery is often aided by computational methods to quantify the transcriptional signatures—the changes in gene activity—associated with the disease and match them to the response profiles of cell lines that act as...
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