Deliverables

Below are listed the deliverables that were approved to date within the PERMIT project. 

• 1.1 First Advisory Board report

The PERMIT Scientific and Ethics advisory boards were constituted and met for a first time to provide guidance for the PERMIT project.

• 1.2 Report on the Advisory Boards M15

The PERMIT Scientific and Ethics advisory boards met after 15 months of the project and provided their insight.

• 1.3 Inventory of ethical and data protection issues in personalised medicine research

This inventory was performed to complement the development of the methodological recommendations. It summarizes collected input on the ethical implications of personalised medicine research from the perspective of ethics experts as well as patient representatives

• 1.4 Data management plan

The PERMIT project will collect minimal data, and a clear plan has been established for its management.

• 1.5 Report on the Advisory Boards M25

The PERMIT Scientific and Ethics advisory boards were consulted after the development of the recommendations for their advice and insight.

• 2.1 Methods for stratification and validation cohorts

A scoping review was performed to map the main methods being applied for the design and management of stratification and validation cohorts.

• 2.2 Review of machine learning methods for stratification

A scoping review was performed to map the main methods being applied when stratifying patients using machine-learning methods.

• 2.3 Review of methods used to assign treatment options to patient clusters

A scoping review was performed to map the main preclinical methods being applied for the development of personalised medicine technologies.

• 2.4 Methods for clinical trials in personalised medicine

A scoping review was performed to map the main designs being applied in personalised medicine clinical trials.

• 2.5 Gap analysis

Following the series of scoping reviews a common workshop took place to analyse the identified gaps within and across stages of the personalised medicine pipeline.

• 4.1 Report on AI algorithms for patient stratification

The recommendations for the use machine learning for patient stratification are presented and their development is described.

• 4.2 Guidelines on validation of AI stratification

The recommendations for the validation process of machine learning patient stratification are presented and their development is described.

• 5.1 Survey report on Industry

An anonymous survey was distributed to Industry representatives to better understand the methods and approaches applied for the development of personalised medicine technologies.

• 5.2 Report on translational research to select treatment options

This report addresses the main recommendations on preclinical research and the use of preclinical models for personalised medicine research, and how they were developed. 

• 7.1 Dissemination and implementation strategy

The PERMIT project defined its approach to communication and dissemination and defined the actions it would take to boost the implementation of its results.

• 7.2 Training material

The material used to developed the PERMIT training series is presented.

• 7.3 Report on future research questions

Certain research questions were identified throughout the PERMIT project and are summarized in this report. These questions could be addressed in future initiatives, as personalised medicine research continues to evolve.