PERsonalised MedicIne Trials

Informazioni relative al progetto

PERMIT

ID dell’accordo di sovvenzione: 874825

DOI

10.3030/874825

Progetto chiuso

Data della firma CE 26 Novembre 2019

Data di avvio 1 Gennaio 2020

Data di completamento 30 Giugno 2022

Finanziato da

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

Costo totale

€ 2 000 000,00

Contributo UE

€ 2 000 000,00

Coordinato da

ECRIN EUROPEAN CLINICAL RESEARCH INFRASTRUCTURE NETWORK
France

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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.

Pubblicazioni

Peer reviewed articles (5)

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

Autori: 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
Pubblicato in: BMJ Open, 2022, ISSN 2044-6055
Editore: BMJ Publishing Group
DOI: 10.1136/bmjopen-2021-052926

Methods for Stratification and Validation Cohorts: A Scoping Review

Autori: 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
Pubblicato in: Journal of Personalized Medicine, Numero 20754426, 2022, ISSN 2075-4426
Editore: MDPI
DOI: 10.3390/jpm12050688

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

Autori: Enrico Glaab, Armin Rauschenberger1, Rita Banzi, Gerardi, Paula Garcia, Jacques Demotes, the PERMIT Group
Pubblicato in: BMJ Open, 2021, ISSN 2044-6055
Editore: BMJ Publishing Group
DOI: 10.1136/bmjopen-2021-053674

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

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

Evaluating Translational Methods for Personalized Medicine—A Scoping Review

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