New publication: Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review

The PERMIT project aims to share its findings at every stage. A first publication has been issued from the series of scoping reviews that were performed during the first year of the project. The paper entitled “Biomarker discovery studies for patient stratification using machine learning analysis of omics data: a scoping review" presents the findings of the scoping review that focused on machine learning methods for patient stratification. It takes a deeper dive into the success stories of biomarker discovery studies that led to clinically validated FDA-cleared tests or laboratory developed tests and highlights their common elements. These findings lay the foundations for the upcoming recommendations of the PERMIT project on machine learning methods for patient stratification.

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