The RapiD and SecuRe AI enhAnced DiaGnosis, Precision Medicine and Patient EmpOwerment Centered Decision Support System for Coronavirus PaNdemics

Informazioni relative al progetto

DRAGON

ID dell’accordo di sovvenzione: 101005122

DOI

10.3030/101005122

Progetto chiuso

Data della firma CE 22 Ottobre 2020

Data di avvio 1 Ottobre 2020

Data di completamento 31 Marzo 2024

Finanziato da

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

Costo totale

€ 11 542 642,00

Contributo UE

€ 11 381 970,00

Coordinato da

UNIVERSITEIT MAASTRICHT
Netherlands

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 (18)

Validated set of business models

A report on the business model development process the decision to move forward with a set of business models to maintain the consortium and the preferred set of business models

Data Management Plan update 2

Data management plan update at month 36 of the project

Report on dockerization of RadiomiX

A document scoping and specifying the containerization of the solution

Report on ethical approval and informed consent for the secondary use of data from the Remdesivir clinical trial

Report on ethical approval and informed consent for the secondary use of data from the Remdesivir clinical tria

Report on the implementation of the sustainability plan

A report on the initial implementation of the sustainability plan.

Sustainability plan

A collaboratively developed plan that includes an overall business plan and plans for the maintenanceexploitation of individual assets

RRI Charter

A 2-3 page charter based on the 6 RRI principles: 1) public engagement; 2) gender equality; 3) science education; 4) open access; 5) ethics; 6) governance.

Patient decision aid App submission

Patient decision aid App submission file for approval to the EMEA FDA authorities

Report on different stakeholder perspectives

A report based upon an interactive role playing session where different stakeholders gain insights to other perspectives with a focus on topics around triage resource allocation and precision medicine

Manuscript on the value of multifactorial analysis

A collaborative produced manuscript based upon the analysis report generated in T6.5

Report on status of posting results

A report on status of posting results for the fast track clinical trial.

Data Management Plan update

Data management plan updated version after 18 months of project duration

Guide to fast track AI enhanced clinical studies for viral pandemics

A set of best practices and process for delivering fast track clinical studies to accelerate innovation for the management of viral pandemics

Report on status of posting bronchoalveolar lavage and aerosol results

A report on status of posting results for the fast track clinical trial

A precision medicine approach to coronavirus therapy decision

A published manuscript, and potential recommendation of how to identify the best candidates for the type of trials performed under the umbrella of this grant

Report on virtual meeting with the other SARS-CoV2 projects

Report on virtual meeting with the other SARS-CoV2 projects funded under the H2020-JTI-IMI2-2020-21-single-stage call to identify synergies and areas for collaboration

Project Charter

A document that will explain the policies and procedures within the project as well as communication channels and expectations.

Manuscript on the best practices and procedures for CT scan

A manuscript that codifies the best practices and procedures for CT scan diagnosis for viral pneumonia.

Other (13)

Initial knowledge graph based upon existing knowledge

A knowledge graph produced by systematic review of existing knowledge and the landscape of new therapeutic development that can be used to support decision making and the explainability of the analysis.

Patient empowerment centered decision support system

MyCareAvatar, MyClinical Trial, and My patient check apps assembled to into a decision support system a citizen that includes the nomograms made available and developed in WP6 and continually updated to support rapid scalable diagnosis, prognostication to support triage and enhance compliance of citizens to evolving guidelines.

Case-control dataset including sequencing results

Case-control dataset from the enrolled patients to be included in the multi-factorial analysis and the precision medicine approach.

Cytological profiling of BAL data

Cytological profiling data derived from the analysis of bronchoalveolar lavage fluid from patients.

Clinical nomograms

A set of graphical calculation tools that will allow for risk assessment and clinical decision making. These will form a rapid output that can be put to use in the short term and help build up knowledge and a stakeholder community to support the development of an electronic decision support system.

Roundtable sessions output dissemination through MyCareAvatarWP2

A specific section of MyCareAvatar will be based upon the results of the role playing roundtable sessions. This will be used to disseminate the learnings from the dialogue between different stakeholders on triage, resource allocation and precision medicine for viral pandemics.

Revised tool to facilitate patient trial participation

A digital tool designed for patients to facilitate inclusion of participants in Clinical Trials, and remote monitoring of relevant data from these participants.

Observational cohort SOC dataset

Observational dataset from the enrolled patients to be included in the multi-factorial analysis and the precision medicine approach.

Knowledge base

A database of risks, issues, opportunities and intellectual property rights (IPR) scans. Risks and issues will include the dialogue that took place in the Project Integration Team and their mitigation or resolution. Opportunities will include a description and an outline of the initial decision to pursue an opportunity and an outline of a plan.

Citizen and patient stakeholder advisory group

A group that represents the patient stakeholder perspective and that will be integrated into the working groups of the consortium assuring that the patient perspective and patient empowerment remains central to the approach of this consortium.

Algorithm and software pipeline for data harmonisation and quality equalisation complete

Process and scripts for transforming and curating quality controlled data.

Tool to facilitate patient trial participation in DRAGON

A digital tool designed for patients to facilitate inclusion of participants in Clinical Trials including the DRAGON study.

Stakeholder Community

A self-directed participatory mixed stakeholder community that includes members external to the project

Websites, patent fillings, videos etc. (5)

Dissemination materials to promote in the community

Messaging web page and articles

Dissemination and communication plan

The dissemination and communications plan outlined in section 22 expanding to include specifics of the dissemination campaigns

Dissemination materials to promote the sustainability plan

Dissemination via social media, websites, conferences, publications, etc.

Publication policy

A policy that defines the process of publication and the procedures for deciding authorship

Initial dissemination materials

A set of dissemination materials for use to develop the website slide presentations etc

Open Research Data Pilot (1)

Data management plan

A data management plan that defines the different data types the plans for making data FAIR and for protecting privacy This document will be maintained and updated throughout the project

Demonstrators, pilots, prototypes (1)

Dynamic coronavirus knowledge graph

A dynamic knowledge graph that is updated periodically incorporating new knowledge as it develops within this initiative and across other initiatives

Pubblicazioni

Peer reviewed articles (17)

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba

Autori: Jiahao Huang, Liutao Yang, Fanwen Wang, Yinzhe Wu, Yang Nan, Weiwen Wu, Chengyan Wang, Kuangyu Shi, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb, Daoqiang Zhang, Guang Yang
Pubblicato in: Medical Image Analysis, Numero 99, 2024, Pagina/e 103334, ISSN 1361-8415
Editore: Elsevier BV
DOI: 10.1016/j.media.2024.103334

Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19

Autori: Julien Guiot, Akshayaa Vaidyanathan, Louis Deprez, Fadila Zerka, Denis Danthine, Anne-Noëlle Frix, Marie Thys, Monique Henket, Gregory Canivet, Stephane Mathieu, Evanthia Eftaxia, Philippe Lambin, Nathan Tsoutzidis, Benjamin Miraglio, Sean Walsh, Michel Moutschen, Renaud Louis, Paul Meunier, Wim Vos, Ralph T. H. Leijenaar, Pierre Lovinfosse
Pubblicato in: Diagnostics, Numero 11/1, 2021, Pagina/e 41, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics11010041

An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest CT

Autori: Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occchipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar
Pubblicato in: ERJ Open Research, Numero 8(2), 2022, Pagina/e 579-2021, ISSN 2312-0541
Editore: ERJ Open Research
DOI: 10.1183/23120541.00579-2021

Privacy preserving distributed learning classifiers – Sequential learning with small sets of data

Autori: Fadila Zerka, Visara Urovi, Fabio Bottari, Ralph T.H. Leijenaar, Sean Walsh, Hanif Gabrani-Juma, Martin Gueuning, Akshayaa Vaidyanathan, Wim Vos, Mariaelena Occhipinti, Henry C. Woodruff, Michel Dumontier, Philippe Lambin
Pubblicato in: Computers in Biology and Medicine, Numero 136, 2021, Pagina/e 104716, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104716

Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomes

Autori: Cosimo Nardi, Andrea Magnini, Linda Calistri Edoardo Cavigli , Anna Julie Peired, Vieri Rastrelli , Edoardo Carlesi , Giulia Zantonelli , Olga Smorchkova, Lorenzo Cinci , Martina Orlandi , Nicholas Landini , Edoardo Berillo , Chiara Lorini , Jessica Mencarini , Maria Grazia Colao , Leonardo Gori , Valentina Luzzi , Chiara Lazzeri , Elisa Cipriani , Manuela Bonizzoli , Filippo Pieralli, Carlo Nozz
Pubblicato in: BMC Pulm Med, Numero Nov 25;23(1):472, 2023, ISSN 1471-2466
Editore: BioMed Central
DOI: 10.1186/s12890-023-02763-3

Automatized lung disease quantification in patients with COVID-19 as a predictive tool to assess hospitalization severity

Autori: Julien Guiot, Nathalie Maes, Marie Winandy, Monique Henket, Benoit Ernst, Marie Thys, Anne-Noelle Frix, Philippe Morimont, Anne-Françoise Rousseau, Perrine Canivet, Renaud Louis, Benoît Misset, Paul Meunier, Jean-Paul Charbonnier and Bernard Lambermont
Pubblicato in: Frontiers in Medicine, Numero Vol 9, 2022, ISSN 2296-858X
Editore: Frontiers Media S.A.
DOI: 10.3389/fmed.2022.930055

Can predicting COVID-19 mortality in a European cohort using only demographic and comorbidity data surpass age-based prediction: An externally validated study

Autori: Avishek Chatterjee, Guangyao Wu, Sergey Primakov, Cary Oberije, Henry Woodruff, Pieter Kubben, Ronald Henry, Marcel J. H. Aries, Martijn Beudel, Peter G. Noordzij, Tom Dormans, Niels C. Gritters van den Oever, Joop P. van den Bergh, Caroline E. Wyers, Suat Simsek, Renée Douma, Auke C. Reidinga, Martijn D. de Kruif, Julien Guiot, Anne-Noelle Frix, Renaud Louis, Michel Moutschen, Pierre Lovinfosse,
Pubblicato in: PLOS ONE, Numero 16/4, 2021, Pagina/e e0249920, ISSN 1932-6203
Editore: Public Library of Science
DOI: 10.1371/journal.pone.0249920

The SARS-CoV-2 viral load in COVID-19 patients is lower on face mask filters than on nasopharyngeal swabs

Autori: Agnieszka Smolinska, David S. Jessop, Kirk L. Pappan, Alexandra De Saedeleer, Amerjit Kang, Alexandra L. Martin, Max Allsworth, Charlotte Tyson, Martine P. Bos, Matt Clancy, Mike Morel, Tony Cooke, Tom Dymond, Claire Harris, Jacqui Galloway, Paul Bresser, Nynke Dijkstra, Viresh Jagesar, Paul H. M. Savelkoul, Erik V. H. Beuken, Wesley H. V. Nix, Renaud Louis, Muriel Delvaux, Doriane Calmes, Benoit
Pubblicato in: Scientific Reports, Numero 11/1, 2021, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-021-92665-3

Accuracy of the multidisciplinary diagnosis of COVID-19 in patients with negative nasopharyngeal swabs RT-PCR, evaluated using BAL as diagnostic gold standard

Autori: Sara Tomassetti, Valentina Luzzi, Giulia Biadene, Guja Bernacchi, Leonardo Gori, Sonia Bambina, Marco De Martino, Edoardo Cavigli, Diletta Cozzi, Vittorio Miele, Gianmaria Rossolini, Simona Pollini, Cosimo Nardi, Anna Peired, Alessandro Morettini, Carlo Nozzoli, Adriana Poggesi, Lorenzo Menicacci, Valentina Scotti, Giogia Falchetti, Elias Romano, Ombretta Para, Lorenzo Caruso, Federico Lavorini
Pubblicato in: European Respiratory Journal, Numero 58, 2021, ISSN 0903-1936
Editore: European Respiratory Society
DOI: 10.1183/13993003.congress-2021.pa840

Limitations of Only Reporting the Odds Ratio in the Age of Precision Medicine: A Deterministic Simulation Study

Autori: Avishek Chatterjee, Henry Woodruff, Guangyao Wu, Philippe Lambin
Pubblicato in: Frontiers in Medicine, Numero 8, 2021, ISSN 2296-858X
Editore: Frontiers in Medicine
DOI: 10.3389/fmed.2021.640854

The Role of Imaging in the Detection of Non-COVID-19 Pathologies during the Massive Screening of the First Pandemic Wave

Autori: Perrine Canivet, Colin Desir, Marie Thys, Monique Henket, Anne-Noëlle Frix, Benoit Ernst, Sean Walsh, Mariaelena Occhipinti, Wim Vos, Nathalie Maes, Jean Luc Canivet, Renaud Louis, Paul Meunier and Julien Guiot
Pubblicato in: Diagnostics, Numero 12(7), 2022, ISSN 2075-4418
Editore: MDPI
DOI: 10.3390/diagnostics12071567

Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape

Autori: Avishek Chatterjee, Cosimo Nardi, Cary Oberije, Philippe Lambin
Pubblicato in: Journal of Personalized Medicine, Numero 11/4, 2021, Pagina/e 300, ISSN 2075-4426
Editore: MDPI
DOI: 10.3390/jpm11040300

Utility of bronchoalveolar lavage for COVID-19: a perspective from the Dragon consortium

Autori: Sara Tomassetti, Luca Ciani, Valentina Luzzi, Leonardo Gori, Marco Trigiani, Leonardo Giuntoli, Federico Lavorini, Venerino Poletti, Claudia Ravaglia, Alfons Torrego, Fabien Maldonado, Robert Lentz, Francesco Annunziato, Laura Maggi, Gian Maria Rossolini, Simona Pollini, Ombretta Para , Greta Ciurleo, Alessandro Casini, Laura Rasero, Alessandro Bartoloni, Michele Spinicci, Mohammed Munavvar, Stefa
Pubblicato in: Front Med (Lausanne), Numero 024 Feb 2:11:1259570, 2024, ISSN 2296-858X
Editore: Frontiers
DOI: 10.3389/fmed.2024.1259570

Deep learning architecture for the classification of COVID-19 and others pneumonias sources on lung CT imaging

Autori: Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Louis Deprez, Denis Danthine, Fabio Bottari, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar
Pubblicato in: European Respiratory Journal, 2021, ISSN 0903-1936
Editore: European Respiratory Society
DOI: 10.1183/13993003.congress-2021.oa1561

Prediction of outcome in COVID-19 patients based on clinical and radiomics chest CT data

Autori: Julien Guiot, Akshayaa Vaidyanathan, Fadila Zerka, Louis Deprez, Denis Danthine, Anne-Noëlle Frix, Fabio Bottari, Monique Henket, Stephane Mathieu, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Benoit Misset, Louis Renard, Paul Meunier, Wim Vos, Ralph T.H. Leijenaar, Pierre Lovinfosse,
Pubblicato in: European Respiratory Journal, 2021, ISSN 0903-1936
Editore: European Respiratory Society
DOI: 10.1183/13993003.congress-2021.pa361

Improving and Externally Validating Mortality Prediction Models for COVID-19 Using Publicly Available Data

Autori: Avishek Chatterjee, Guus Wilmink, Henry Woodruff and Philippe Lambin
Pubblicato in: BioMed, 2022, Pagina/e 13-26, ISSN 2078-2489
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/biomed2010002

Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions

Autori: Yang Nan, Javier Del Ser, Simon Walsh, Carola Schonlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva van Rikxoort, Avishek Chatterjee, Henry Woodruff, Philippe Lambin, Leonor Cerda-Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang
Pubblicato in: Information Fusion, Numero 82, 2022, Pagina/e 99-122, ISSN 1566-2535
Editore: Elsevier BV
DOI: 10.1016/j.inffus.2022.01.001

Non-peer reviewed articles (3)

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks

Autori: Zihao Jin, Yingying Fang, Jiahao Huang, Caiwen Xu, Simon Walsh, Guang Yang
Pubblicato in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Pagina/e 504-513, ISSN 2331-8422
Editore: arxiv
DOI: 10.1007/978-3-031-72378-0_47

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction

Autori: Liutao Yang, Jiahao Huang, Yingying Fang, Angelica I Aviles-Rivero, Carola-Bibiane Schonlieb, Daoqiang Zhang, Guang Yang
Pubblicato in: arxiv.org, Numero 2409.01544v1 3 sept 2024, 2024, ISSN 2331-8422
Editore: arxiv
DOI: 10.48550/arxiv.2409.01544

CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates

Autori: Liutao Yang, Jiahao Huang, Guang Yang, Daoqiang Zhang
Pubblicato in: arxiv, Numero 2409.01571v1 3 sept 2024, 2024, ISSN 2331-8422
Editore: arxiv.org
DOI: 10.48550/arxiv.2409.01571

Other (1)

Covid19Risk.ai: An open source repository and online calculator of prediction models for early diagnosis and prognosis of Covid-19

Autori: View ORCID ProfileIva Halilaj, Avishek Chatterjee, Yvonka van Wijk, Guangyao Wu, Brice van Eeckhout, Cary Oberije, Philippe Lambin
Pubblicato in: bioRxiv, 2021
Editore: Cold spring harbor laboratory
DOI: 10.1101/2021.01.05.425384