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CORDIS - Forschungsergebnisse der EU
CORDIS

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

CORDIS bietet Links zu öffentlichen Ergebnissen und Veröffentlichungen von HORIZONT-Projekten.

Links zu Ergebnissen und Veröffentlichungen von RP7-Projekten sowie Links zu einigen Typen spezifischer Ergebnisse wie Datensätzen und Software werden dynamisch von OpenAIRE abgerufen.

Leistungen

Validated set of business models (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

Data management plan update at month 36 of the project

Report on dockerization of RadiomiX (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

A report on the initial implementation of the sustainability plan.

Sustainability plan (öffnet in neuem Fenster)

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

RRI Charter (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Report on different stakeholder perspectives (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Report on status of posting results (öffnet in neuem Fenster)

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

Data Management Plan update (öffnet in neuem Fenster)

Data management plan updated version after 18 months of project duration

Guide to fast track AI enhanced clinical studies for viral pandemics (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

A precision medicine approach to coronavirus therapy decision (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Initial knowledge graph based upon existing knowledge (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Clinical nomograms (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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

Knowledge base (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

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 (öffnet in neuem Fenster)

Process and scripts for transforming and curating quality controlled data.

Tool to facilitate patient trial participation in DRAGON (öffnet in neuem Fenster)

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

Stakeholder Community (öffnet in neuem Fenster)

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

Dissemination materials to promote in the community (öffnet in neuem Fenster)

Messaging web page and articles

Dissemination and communication plan (öffnet in neuem Fenster)

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

Dissemination materials to promote the sustainability plan (öffnet in neuem Fenster)

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

Publication policy (öffnet in neuem Fenster)

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

Initial dissemination materials (öffnet in neuem Fenster)

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

Data management plan (öffnet in neuem Fenster)

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

Dynamic coronavirus knowledge graph (öffnet in neuem Fenster)

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

Veröffentlichungen

Enhancing global sensitivity and uncertainty quantification in medical image reconstruction with Monte Carlo arbitrary-masked mamba (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Medical Image Analysis, Ausgabe 99, 2024, Seite(n) 103334, ISSN 1361-8415
Herausgeber: Elsevier BV
DOI: 10.1016/j.media.2024.103334

Development and Validation of an Automated Radiomic CT Signature for Detecting COVID-19 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Diagnostics, Ausgabe 11/1, 2021, Seite(n) 41, ISSN 2075-4418
Herausgeber: MDPI
DOI: 10.3390/diagnostics11010041

An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest CT (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: ERJ Open Research, Ausgabe 8(2), 2022, Seite(n) 579-2021, ISSN 2312-0541
Herausgeber: ERJ Open Research
DOI: 10.1183/23120541.00579-2021

Privacy preserving distributed learning classifiers – Sequential learning with small sets of data (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Computers in Biology and Medicine, Ausgabe 136, 2021, Seite(n) 104716, ISSN 0010-4825
Herausgeber: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2021.104716

Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomes (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: BMC Pulm Med, Ausgabe Nov 25;23(1):472, 2023, ISSN 1471-2466
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Frontiers in Medicine, Ausgabe Vol 9, 2022, ISSN 2296-858X
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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,
Veröffentlicht in: PLOS ONE, Ausgabe 16/4, 2021, Seite(n) e0249920, ISSN 1932-6203
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Scientific Reports, Ausgabe 11/1, 2021, ISSN 2045-2322
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: European Respiratory Journal, Ausgabe 58, 2021, ISSN 0903-1936
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: Avishek Chatterjee, Henry Woodruff, Guangyao Wu, Philippe Lambin
Veröffentlicht in: Frontiers in Medicine, Ausgabe 8, 2021, ISSN 2296-858X
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Diagnostics, Ausgabe 12(7), 2022, ISSN 2075-4418
Herausgeber: MDPI
DOI: 10.3390/diagnostics12071567

Knowledge Graphs for COVID-19: An Exploratory Review of the Current Landscape (öffnet in neuem Fenster)

Autoren: Avishek Chatterjee, Cosimo Nardi, Cary Oberije, Philippe Lambin
Veröffentlicht in: Journal of Personalized Medicine, Ausgabe 11/4, 2021, Seite(n) 300, ISSN 2075-4426
Herausgeber: MDPI
DOI: 10.3390/jpm11040300

Utility of bronchoalveolar lavage for COVID-19: a perspective from the Dragon consortium (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Front Med (Lausanne), Ausgabe 024 Feb 2:11:1259570, 2024, ISSN 2296-858X
Herausgeber: Frontiers
DOI: 10.3389/fmed.2024.1259570

Deep learning architecture for the classification of COVID-19 and others pneumonias sources on lung CT imaging (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: European Respiratory Journal, 2021, ISSN 0903-1936
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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,
Veröffentlicht in: European Respiratory Journal, 2021, ISSN 0903-1936
Herausgeber: European Respiratory Society
DOI: 10.1183/13993003.congress-2021.pa361

Improving and Externally Validating Mortality Prediction Models for COVID-19 Using Publicly Available Data (öffnet in neuem Fenster)

Autoren: Avishek Chatterjee, Guus Wilmink, Henry Woodruff and Philippe Lambin
Veröffentlicht in: BioMed, 2022, Seite(n) 13-26, ISSN 2078-2489
Herausgeber: 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 (öffnet in neuem Fenster)

Autoren: 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
Veröffentlicht in: Information Fusion, Ausgabe 82, 2022, Seite(n) 99-122, ISSN 1566-2535
Herausgeber: Elsevier BV
DOI: 10.1016/j.inffus.2022.01.001

Diff3Dformer: Leveraging Slice Sequence Diffusion for Enhanced 3D CT Classification with Transformer Networks (öffnet in neuem Fenster)

Autoren: Zihao Jin, Yingying Fang, Jiahao Huang, Caiwen Xu, Simon Walsh, Guang Yang
Veröffentlicht in: Lecture Notes in Computer Science, Medical Image Computing and Computer Assisted Intervention – MICCAI 2024, 2024, Seite(n) 504-513, ISSN 2331-8422
Herausgeber: arxiv
DOI: 10.1007/978-3-031-72378-0_47

Learning Task-Specific Sampling Strategy for Sparse-View CT Reconstruction (öffnet in neuem Fenster)

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

CT-SDM: A Sampling Diffusion Model for Sparse-View CT Reconstruction across All Sampling Rates (öffnet in neuem Fenster)

Autoren: Liutao Yang, Jiahao Huang, Guang Yang, Daoqiang Zhang
Veröffentlicht in: arxiv, Ausgabe 2409.01571v1 3 sept 2024, 2024, ISSN 2331-8422
Herausgeber: arxiv.org
DOI: 10.48550/arxiv.2409.01571

Covid19Risk.ai: An open source repository and online calculator of prediction models for early diagnosis and prognosis of Covid-19 (öffnet in neuem Fenster)

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

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