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.
A new publication about robust & reproducible preclinical research in #PersonalisedMedicine has been published in BMCMedicine. Among the authors are EATRIS staff & institutions members. Congrats to all involved. 👉Find out more hereatris.eu/news/new-publi…w#PERMITprojectect https://t.co/kp46SdWB9G
New #PERMITProject publication: Recommendations for robust & reproducible preclinical research in personalised medicine. 15 recommendations are presented aiming to improve the robustness of preclinical methods in translational research for PM. permit-eu.org/publications https://t.co/zAS8pYOlOm