Building Data Rich Clinical Trials

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

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

Author(s): Orre et al
Published in: Nature Cancer, Issue 26621347, 2021, Page(s) 1224-1242, ISSN 2662-1347
Publisher: 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

Author(s): Oskar Wysocki; Jessica Katharine Davies; Markel Vigo; Anne Caroline Armstrong; Dónal Landers; Rebecca Lee; André Freitas
Published in: 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, Issue 4, 2023, ISSN 0004-3702
Publisher: 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

Author(s): 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
Published in: BMC Cancer, Vol 23, Iss 1, Pp 1-10 (2023), Issue 7, 2023, ISSN 1471-2407
Publisher: BioMed Central
DOI: 10.1186/s12885-023-11262-x

Engaging European society at the forefront of cancer research and care

Author(s): Celis, Julio E; Ringborg, Ulrik; heitor, manuel; Berns, Anton; Albreht, Tit; GARRALDA, Elena; Baumann, Michael
Published in: Scientia, Issue 2, 2023, ISSN 1574-7891
Publisher: Elsevier BV
DOI: 10.1002/1878-0261.13423

The Porto European cancer research summit 2021

Author(s): 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
Published in: Molecular Oncology, Issue 15747891, 2021, ISSN 1574-7891
Publisher: Elsevier BV
DOI: 10.1002/1878-0261.13078

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

Author(s): Tamborero et al
Published in: Nature Cancer, Issue 26621347, 2022, ISSN 2662-1347
Publisher: Springer Nature
DOI: 10.1038/s43018-022-00332-x

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

Author(s): Jaki, Thomas; Burdon, Abigail; Chen, Xijin; Mozgunov, Pavel; Zheng, Haiyan; Baird, Richard
Published in: Crossref, Issue 189, 2023, ISSN 0959-8049
Publisher: 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

Author(s): Wysocka, Magdalena; Wysocki, Oskar; Zufferey, Marie; Landers, Dónal; Freitas, André
Published in: BMC Bioinformatics, Vol 24, Iss 1, Pp 1-31 (2023), Issue 1, 2023, ISSN 1471-2105
Publisher: BioMed Central
DOI: 10.21203/rs.3.rs-1970036/v1

Transformers and the Representation of Biomedical Background Knowledge

Author(s): Wysocki, Oskar; Zhou, Zili; O'Regan, Paul; Ferreira, Deborah; Wysocka, Magdalena; Landers, Dónal; Freitas, André
Published in: Crossref, Issue 2, 2023, ISSN 0891-2017
Publisher: MIT Press
DOI: 10.1162/coli_a_00462

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

Author(s): Delmas, Maxime; Wysocka, Magdalena; Freitas, André
Published in: arXiv, Issue 3, 2023, ISSN 2331-8422
Publisher: Cornell Tech
DOI: 10.48550/arxiv.2311.06364

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

Author(s): Wysocka, Magdalena; Wysocki, Oskar; Delmas, Maxime; Mutel, Vincent; Freitas, Andre
Published in: Crossref, Issue 2, 2023, ISSN 2331-8422
Publisher: Cornell Tech
DOI: 10.48550/arxiv.2305.17819

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