Scipher: decoding drug response from protein interactions
Scipher aims to improve drug response predictions by incorporating protein interaction networks in its gene expression analysis algorithms
To improve the accuracy of therapeutic response predictions, Scipher has incorporated protein-protein interaction maps into its machine learning-based analyses of patient gene expression data to spotlight pathologically relevant markers.
According to Scipher Medicine Corp. CEO Alif Saleh, 90% of patients prescribed the world's 10 top-selling drugs do not respond to therapy. The company ascribed the lack of efficacy to the irrelevance of the drug target in non-responding patients.