Building Data Rich Clinical Trials

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Molecular standardization

[This Deliverable is co-lead by UCAM/KI]Technical specifications for non-invasive molecular monitoring approaches, including decision making thresholds for specific clinical trial scenarios.

Quality assurance guidelines and procedures

A set of quality assurance scientific and clinical principles to be applied in all work to be developed during the project

Imaging response

[This Deliverable is co-lead by UCAM/KI]Definition of new imaging and molecular markers, based on single or combination of measurements, for patient stratification and as early readouts for tumour progression and drug response.

Imaging standardization

[this Deliverable is co-lead by UCAM/KI]Development of a pipeline for multi-scanner image data standardization, processing and radiomics feature extraction.

Project website

Creation of a public project website

Initial workshop

Convene Workshop 1 between academic / pharma / regulatory stakeholders and publish workshop report.

BoB biorepository of data (front end)

[This Deliverable is co-lead by KI/HYVE]Deployment of a cBioPortal instance to navigate the generated data adapted to the CCE-DART clinical needs.

Publications

Proteogenomics of non-small cell lung cancer reveals molecular subtypes associated with specific therapeutic targets and immune evasion mechanisms

Auteurs: Orre et al
Publié dans: Nature Cancer, Numéro 26621347, 2021, Page(s) 1224-1242, ISSN 2662-1347
Éditeur: Springer Nature
DOI: 10.1038/s43018-021-00259-9

Assessing the communication gap between AI models and healthcare professionals: Explainability, utility and trust in AI-driven clinical decision-making

Auteurs: Oskar Wysocki; Jessica Katharine Davies; Markel Vigo; Anne Caroline Armstrong; Dónal Landers; Rebecca Lee; André Freitas
Publié dans: Wysocki , O , Davies , J K , Vigo , M , Armstrong , A C , Landers , D , Lee , R & Freitas , A 2023 , ' Assessing the communication gap between AI models and healthcare professionals : Explainability, utility and trust in AI-driven clinical decision-making ' , Artificial Intelligence , vol. 316 , 103839 . https://doi.org/10.1016/j.artint.2022.103839, Numéro 4, 2023, ISSN 0004-3702
Éditeur: Elsevier BV
DOI: 10.1016/j.artint.2022.103839

Public and patient involvement: a survey on knowledge, experience and opinions among researchers within a precision oncology European project

Auteurs: Paola Mosconi; Cinzia Colombo; Pasquale Paletta; Laura Gangeri; Chiara Pellegrini; Elena Garralda; Rosalba Miceli; Cinzia Brunelli; Irene Braña; Jordi Rodon; Guillermo Villacampa; Anna Pedrola; Rodrigo Dienstmann; Bianca Pont; Júlia Lostes; Alejandro Piris; Elena Chavarria; Xenia Villalobos; Berta Colldeforns; Raquel Pérez-López; Paolo Nuciforo; David Tamborero; Janne Lehtiö; Ali Razzak; Mari
Publié dans: BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023), Numéro 7, 2023, ISSN 1471-2407
Éditeur: BioMed Central
DOI: 10.1186/s12885-023-11262-x

Engaging European society at the forefront of cancer research and care

Auteurs: Celis, Julio E; Ringborg, Ulrik; heitor, manuel; Berns, Anton; Albreht, Tit; GARRALDA, Elena; Baumann, Michael
Publié dans: Scientia, Numéro 2, 2023, ISSN 1574-7891
Éditeur: Elsevier BV
DOI: 10.1002/1878-0261.13423

The Porto European cancer research summit 2021

Auteurs: Ulrik Ringborg , Anton Berns , Julio E Celis , Manuel Heitor , Josep Tabernero , Joachim Schüz , Michael Baumann , Rui Henrique , Matti Aapro , Partha Basu 8, Regina Beets-Tan , Benjamin Besse , Fátima Cardoso , Fátima Carneiro , Guy van den Eede , Alexander Eggermont , Stefan Fröhling , Susan Galbraith , Elena Garralda , Douglas Hanahan , Thomas Hofmarc
Publié dans: Molecular Oncology, Numéro 15747891, 2021, ISSN 1574-7891
Éditeur: Elsevier BV
DOI: 10.1002/1878-0261.13078

The Molecular Tumor Board Portal supports clinical decisions and automated reporting for precision oncology

Auteurs: Tamborero et al
Publié dans: Nature Cancer, Numéro 26621347, 2022, ISSN 2662-1347
Éditeur: Springer Nature
DOI: 10.1038/s43018-022-00332-x

Early phase clinical trials in oncology: Realising the potential of seamless designs

Auteurs: Jaki, Thomas; Burdon, Abigail; Chen, Xijin; Mozgunov, Pavel; Zheng, Haiyan; Baird, Richard
Publié dans: Crossref, Numéro 189, 2023, ISSN 0959-8049
Éditeur: Pergamon Press Ltd.
DOI: 10.1016/j.ejca.2023.05.005

A systematic review of biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data

Auteurs: Wysocka, Magdalena; Wysocki, Oskar; Zufferey, Marie; Landers, Dónal; Freitas, André
Publié dans: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-31 (2023), Numéro 1, 2023, ISSN 1471-2105
Éditeur: BioMed Central
DOI: 10.21203/rs.3.rs-1970036/v1

Transformers and the Representation of Biomedical Background Knowledge

Auteurs: Wysocki, Oskar; Zhou, Zili; O'Regan, Paul; Ferreira, Deborah; Wysocka, Magdalena; Landers, Dónal; Freitas, André
Publié dans: Crossref, Numéro 2, 2023, ISSN 0891-2017
Éditeur: MIT Press
DOI: 10.1162/coli_a_00462

Relation Extraction in underexplored biomedical domains: A diversity-optimised sampling and synthetic data generation approach

Auteurs: Delmas, Maxime; Wysocka, Magdalena; Freitas, André
Publié dans: arXiv, Numéro 3, 2023, ISSN 2331-8422
Éditeur: Cornell Tech
DOI: 10.48550/arxiv.2311.06364

Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery

Auteurs: Wysocka, Magdalena; Wysocki, Oskar; Delmas, Maxime; Mutel, Vincent; Freitas, Andre
Publié dans: Crossref, Numéro 2, 2023, ISSN 2331-8422
Éditeur: Cornell Tech
DOI: 10.48550/arxiv.2305.17819

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