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.

@ECRIN_ERIC
May 9th
📚New publication by t#PERMITprojectect Group.
It presents an overview of the study designs that have been used #personalisedmedicineine clinical trials.
The publications from the PERMIT scoping review are available herpermit-eu.org/publicationsivN https://t.co/6zB3rGf4G4


@ECRIN_ERIC
Apr 26th
📚New publication from t#PERMITprojectect!
The focus of this 2nd article of the scoping reviews is the methods and tools for the design and management of stratification and validation cohorts in personalised medicinemdpi.com/2075-4426/12/5…NV3 https://t.co/riiYrKUSZ6


@ICPerMed
Apr 21st
News from the #ICPerMedfamily
Training opportunity from the #PERMITproject: "Advanced trial designs for #personalisedmedicine: an interactive workshop on research methods"
🗓️12 May, 2:30 – 5:30 pm CEST
👉Online (Zoom Platform)
Regisdocs.google.com/forms/d/e/1FAI…xtwitter.com/ECRIN_ERIC/sta…E7UgdhlLcT