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How do we make this happen?

Plan

The project management structure is kept relatively simple considering the size and ambition of the project.

The different boards that are required for the implementation of the project are the same that the foundation needs for its operation. Naturally, they serve both purposes to give the foundation a flying start.

Work package WP1 – Management of the project

(Leader: INCLIVA) Duration: M1-M48 

WP 1 assures progress and financial management of AIDA, communication between the partners and reporting. It contains communication and dissemination to external stakeholders, patients and society at large. This WP includes the following tasks: 

Task 1.1. General project management 

Task 1.2. Approve ethics and other relevant requirements, including data management plan 

Task 1.3. Coordinate CRF implementation at the different sites 

Task 1.4. Manage and monitor inclusivity and gender 

Task 1.5. Manage clinical studies 

Work package WP2 – Optimised H. pylori management

(Leader: FIBHUP) Duration: M1-M48 

The main objectives of WP2 include to provide H. pylori patients’ baseline characteristics, diagnostics’ methods, bacterial resistance rates to the different treatments prescriptions, as well as treatment outcomes in the different contexts of the registry (geographic, specific populations, specific interventions, etc.) in order to contribute to the development of the state-of-the-art App, the AI-powered expert system, AIDA. WP2 includes the following tasks: 

Task 2.1. Prepare and harmonise the data registry 

Task 2.2. Systematic and periodical data analysis and synthesis of the Information 

Task 2.3. Data set preparation 

Task 2.4. Create a validation cohort to test the AI-driven best practices

Work package WP3 – Validated AI for endoscopy/pathology imaging studies

(Leader: IPO Porto) Duration: M1-M48 

The main aims of WP3 are to develop and validate diagnostic algorithms for detecting and characterising high-risk lesions in gastric mucosa, both for endoscopy recordings (images/videos) and pathology (digital whole slide images – WSI) using derivation and validation cohort. WP3 includes the following tasks: 

Task 3.1. Define data requirements and harmonisation in endoscopy and pathology 

Task 3.2. Create the technological structure to pool endoscopy and pathology data 

Task 3.3. Collect and validation of endoscopy data 

Task 3.4. Build the AI-based endoscopy model for the target macroscopic lesions 

Task 3.5. Collect and validate pathology data 

Task 3.6. Build the AI-based pathology model for the microscopic target lesions 

Work package WP4 – Validated AI for biomarkers and molecular phenotyping

(Leader: INCLIVA) Duration: M6-M48 

WP4 aims to characterise patients diagnosed with gastrointestinal metaplasia (GIM) through cases-control sets using a multi-omics strategy, including the immune, molecular, and microbiome profiling to provide knowledge on the biological features related with gastric chronic inflammation; and to identify biological characteristics that could improve precision diagnosis for the risk groups of patients diagnosed with GIM beyond the pathological characteristics. WP4 includes the following tasks: 

Task 4.1. Develop data sets for biomarker characterisation 

Task 4.2. Immune characterisation of patients with gastrointestinal metaplasia (GIM) 

Task 4.3. Microbiome characterisation 

Task 4.4. H. pylori subtypes characterisation 

Task 4.5. Molecular characterisation of patients with GIM 

Work package WP5 – Advanced AI analytics, personalised risk factor and apps

(Leader: Imperial) Duration: M4-M48 

WP5 develops explainable and network-driven AI workflows for personalised risk stratification, biomarker discovery and H. pylori eradication therapy selection using multi-source clinical, imaging and omics data. WP5 includes the following tasks: 

Task 5.1. Create AI reinforcement learning H. pylori management 

Task 5.2. Design and validate explainable AI for endoscopy and pathology data 

Task 5.3. Design and validate graph neural networks for multi-omics 

Task 5.4. Develop data/model integrators 

Work package WP6 – Data collaborative foundation, governance and architecture

(Leader: Stratejai) Duration: M1-M48 

The objective of WP6 is to develop a data governance structure that enables access to data to all stakeholders while minimising negative impact. This includes designing a shared data governance model that increases trust and demonstrates trustworthiness with how data is collected, shared, and used. WP6 includes the following tasks: 

Task 6.1. Establish the foundation and define governance 

Task 6.2. Design architecture 

Task 6.3. Data ingestion pipeline—Back end 

Task 6.4. Front end (dashboards and analytics) 

Task 6.5. Develop the technological component of the use cases 

Task 6.6. Harmonise with European Data Spaces, FAIR and ALTAI principles 

Work package WP7 – Communication, dissemination, education and exploitation

(Leader: DiCE) Duration: M1-M48 

The main goal of WP7 is to disseminate the results of the AIDA project through a diverse range of communications tools (AIDA app and dashboards, website, social media channels, educational programmes), aimed at the expert audiences (e.g., clinicians and researchers), patients and citizens at risk of developing gastric cancer, and the general public. It also targets external stakeholders in the field of gastric inflammation management and prevention in order to demonstrate the feasibility of the foundation. WP7 includes the following tasks: 

Task 7.1. Conduct impact assessment and cost-benefit analysis with stakeholders 

Task 7.2. Run awareness campaigns and educational programmes 

Task 7.3. Validate business cases for economic sustainability 

Work package WP8 – Ethics requirements

(Leader: INCLIVA) Duration: M1-M48 

The objective of WP8 is to ensure compliance with the ‘ethics requirements’ set out in this work package. This work package sets out the ‘ethics requirements’ that the project must comply with. 

Milestones

WP No Milestone No Milestone Name Due Date
WP7
M07
Social media communication active
31/08/2023
WP1
M01
Approval from Ethical Committees and Clinical Study Registry
31/12/2023
WP1
M02
CRF implemented in all clinical sites
31/12/2023
WP3
M04
Technological structure to pool endoscopy and pathological data
28/02/2024
WP6
M06
Foundation and governance established
28/02/2024
WP2
M03
Aida dataset ready
30/04/2025
WP4
M05
All molecular determinations performed
28/02/2026

Deliverables

WP No Deliverable No Deliverable Name Due Date
WP8
D8.1
OEI - Requirement No. 1
31/01/2023
WP1
D1.1
Clinical Study Protocol and Informed Consent Form
30/06/2023
WP1
D1.3
Data Management Plan
30/06/2023
WP3
D3.1
Harmonised data
30/06/2023
WP4
D4.2
Laboratory handbook
30/06/2023
WP7
D7.4
Plan for exploitation and dissemination of the results
30/06/2023
WP7
D7.5
Public project dedicated website
30/06/2023
WP8
D8.2
H - AI - POPD - Requirement No. 3
30/06/2023
WP1
D1.2
Quality and Risk Management Plan
31/10/2023
WP2
D2.2
Clean dataset for Aida purposes
31/12/2023
WP6
D6.1
Foundation
31/12/2023
WP7
D7.1
Online applications and/or paper score charts for the use cases
31/12/2023
WP8
D8.3
H - AI - POPD - Requirement No. 4
31/12/2023
WP7
D7.6
Plan for exploitation and dissemination of the results - Update 1
30/06/2024
WP6
D6.2
Technological infrastructure
31/08/2024
WP8
D8.4
H - POPD - AI - Requirement No. 5
31/12/2024
WP1
D1.6
Data management plan - Update
28/02/2025
WP1
D1.4
Mid-term recruitment report
30/06/2025
WP2
D2.3
Clean, validated cohort based on Aida specific objectives
31/10/2025
WP4
D4.3
Validated biomarkers and molecular phenotyping identifiers
31/12/2025
WP7
D7.7
Plan for exploitation and dissemination of the results - Update 2
31/12/2025
WP5
D5.1
Deep reinforcement learning architectures for H. pylori management
28/02/2026
WP6
D6.3
Dashboard and apps
30/04/2026
WP4
D4.1
Data sets and samples
30/06/2026
WP5
D5.3
Network AI for improved biomarker and pathway analysis of multi-omics data in GIM
31/08/2026
WP1
D1.5
Posting of results to the study registry
31/12/2026
WP2
D2.1
Summary statistical reports and publications
31/12/2026
WP3
D3.2
Validated imaging algorithms for endoscopy
31/12/2026
WP3
D3.3
Validated imaging algorithms for pathology
31/12/2026
WP5
D5.2
Explainable AI workflows for GIM assessment using endoscopy and pathology imaging data
31/12/2026
WP5
D5.4
Intelligent patient journey workflows for GIM
31/12/2026
WP7
D7.2
Presentations at UEG and scientific publications, web; Communication strategy
31/12/2026
WP7
D7.3
Estimates of long-term impact and costbenefits of the tools developed
31/12/2026
WP7
D7.8
Plan for exploitation and dissemination of the results - Final
31/12/2026
WP8
D8.5
H - AI - POPD - Requirement No. 6
31/12/2026
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