Health IT Analytics March 2, 2021
A new data analytics model can predict the efficacy of cancer drugs by examining differences across and within multiple cancer types.
Using a new data analytics approach, researchers could enhance cancer drug response predictions by accounting for overlooked variation across and within cancer types, a study published in PLOS Computational Biology revealed.
With new technologies and large genomic datasets, researchers can examine shared features not just within a single type of cancer, but can look for patterns across many different types of cancer.
This information can provide hints that an approach that worked well in one type of cancer may also be successful against a different type of cancer based on common underlying features. However, going through all this data...