PERsonalised MedicIne Trials

Informations projet

PERMIT

N° de convention de subvention: 874825

DOI

10.3030/874825

Projet clôturé

Date de signature de la CE 26 Novembre 2019

Date de début 1 Janvier 2020

Date de fin 30 Juin 2022

Financé au titre de

• SOCIETAL CHALLENGES - Health, demographic change and well-being

Coût total

€ 2 000 000,00

Contribution de l’UE

€ 2 000 000,00

Coordonné par

ECRIN EUROPEAN CLINICAL RESEARCH INFRASTRUCTURE NETWORK
France

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (20)

Report of Advisory Board M5
Report on AI algorithms for patient stratification
Training material
Report Advisory Board M25

The Advisory Boards of PERMIT will be consulted on the nearfinal version of the recomendations before the implementation workshop The report will summarize their observations and the guidance the board members will provide

Guideline on cohort design in patient stratification studies
Gap analysis
Review of stratification and validation methods, including machine learning
Dissemination and implementation strategy plan
Review of methods for randomised trials in personalised medicine
Guidelines on validation of AI stratification
Report on innovative trials designs for personalised medicine
Guidelines on sample size in stratification / validation cohorts
Report on translational research to select treatment options
Report on Industry survey
Report on future research questions

The gap analysis performed and the consultations with the field experts for the development of the recommendations will lead to the identification of potential future research questions These are areas where there is insufficient information currently to inform recomendations and would require more in depth research and analysis The report will present these questions indicating where possible the means that would be necessary to implement future research

Report on trials assessing the personalised vs. non personalised medicine approach
Inventory of ethical and data protection issues in personalised medicine research

With the support of the Ethical Advisory Board patient representatives and external experts this report will inventory ethical and data protecion issues that will be identified during the discussions and while drafting the different sets of recommendations

Review of methods in stratification / validation cohorts
Report of Advisory Board M15
Review of methods used to assign treatment options to patient clusters

Open Research Data Pilot (1)

Data management plan

Compliance with ethical and personal data protection requirements. A data management plan will be produced, and will cover all aspects of data collection and management within the PERMIT project. It will respect FAIR data management principles and will encompass the specific data protection policy that will be developed for the PERMIT project.

Publications

Peer reviewed articles (5)

Study designs for clinical trials applied to personalised medicine: a scoping review

Auteurs: Cecilia Superchi1, Florie Brion Bouvier, Chiara Gerardi, Montserrat Carmona, Lorena San Miguel, Luis María Sánchez-Gómez, Iñaki Imaz-Iglesia, Paula Garcia, Jacques Demotes, Rita Banzi, Raphaël Porcher, the PERMIT Group
Publié dans: BMJ Open, 2022, ISSN 2044-6055
Éditeur: BMJ Publishing Group
DOI: 10.1136/bmjopen-2021-052926

Methods for Stratification and Validation Cohorts: A Scoping Review

Auteurs: Teresa Torres Moral, Albert Sanchez-Niubo, Anna Monistrol-Mula, Chiara Gerardi, Rita Banzi,Paula Garcia, Jacques Demotes-Mainard, Josep Maria Haro, and the PERMIT Group
Publié dans: Journal of Personalized Medicine, Numéro 20754426, 2022, ISSN 2075-4426
Éditeur: MDPI
DOI: 10.3390/jpm12050688

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

Auteurs: Enrico Glaab, Armin Rauschenberger1, Rita Banzi, Gerardi, Paula Garcia, Jacques Demotes, the PERMIT Group
Publié dans: BMJ Open, 2021, ISSN 2044-6055
Éditeur: BMJ Publishing Group
DOI: 10.1136/bmjopen-2021-053674

Ten quick tips for biomarker discovery and validation analyses using machine learning

Auteurs: Ramon Diaz-Uriarte,Elisa Gómez de Lope,Rosalba Giugno,Holger Fröhlich,Petr V. Nazarov,Isabel A. Nepomuceno-Chamorro,Armin Rauschenberger,Enrico Glaa
Publié dans: Plos Computational Biology, 2022, ISSN 1553-734X
Éditeur: Public Library of Science
DOI: 10.1371/journal.pcbi.1010357

Evaluating Translational Methods for Personalized Medicine—A Scoping Review

Auteurs: Vibeke Fosse, Emanuela Oldoni, Chiara Gerardi, Rita Banzi, Maddalena Fratelli, Florence Bietrix, Anton Ussi, Antonio L. Andreu, Emmet McCormack, and the PERMIT Group
Publié dans: Journal of Personalized Medicine, Numéro 12(7), 2022, ISSN 2075-4426
Éditeur: MDPI
DOI: 10.3390/jpm12071177