Reinventing the biomarker model discovery experience

Biomarker discovery has opened new realms in the medical industry, from patient diagnosis and treatment, to drug development and testing. However, through these advances the capacity to discover biomarkers models has often been constrained by the employed methodologies.

A new multivariable approach to biomarker discovery has emerged to resolve these weaknesses, using SimplicityBio’s proprietary Biomarker Optimization Software System (BOSS) we are able to find the perfect balance between accuracy and quantity of biomarkers.

Across the six cancer datasets, BOSS achieved an accuracy of 95.83% or higher which exceeded or met the accuracy of every other method it was compared to. But the key to BOSS’s superiority is not just its exceptional accuracy, it is its ability to constrain the number of variables selected in each model.