Enhancing Cancer Vaccine Science for New Therapy Pathways

Información del proyecto

CANVAS

Identificador del acuerdo de subvención: 101079510

DOI

10.3030/101079510

Proyecto cerrado

Fecha de la firma de la CE 6 Septiembre 2022

Fecha de inicio 1 Octubre 2022

Fecha de finalización 31 Marzo 2026

Financiado con arreglo a

• Widening participation and spreading excellence

Coste total

€ 1 499 512,50

Aportación de la UE

€ 1 499 512,50

Coordinado por

UNIWERSYTET GDANSKI
Poland

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Documents, reports (8)

Report on joint PhD supervisions
List of workshops with agenda and lists of participants
List of agendas and lists of participants in training activities
Report on Open Science for Researchers
Agenda and list of participants of the summer/winter school
List of workshop participations
Report on aka data Challenge
List and agendas of research support events attended

List and agendas of researchsupport events attended

Websites, patent fillings, videos etc. (1)

Project communication toolkit

Publicaciones

Other (1)

Data Lakehouse to support the development of AI models for predicting patient response to anti-tumor therapies

Autores: Coquelet, Elodine; Silva, Marta; Balbi, Laura; Riba, Jofre; Alfaro, Javier Antonio; Massimo Zanzotto, Fabio; Pesquita, Catia; Kumar, Rohit; Battail, Christophe
Publicado en: 2023
Editor: Zenodo
DOI: 10.5281/ZENODO.8214433

Conference proceedings (4)

Data Lakehouse to support the development of AI models for predicting patient clinical response to targeted and immuno-therapies

Autores: Coquelet Elodine; Marta, Silva; Balbi Laura; Riba Jofre; Alfaro Javier; Zanzotto Fabio Massimo; Pesquita Catia; Rohit, Kumar; Christophe, Battail
Publicado en: 2023
Editor: Zenodo
DOI: 10.5281/ZENODO.8214443

Microenvironment of metastatic site reveals key predictors of PD-1 blockade response in renal cell carcinoma

Autores: Jeanneret, Florian; Bazelle, Pauline; Schoch, Sarah; Pillet, Catherine; Um, In Hwa; Bouzit, Assilah; Evrard, Bertrand; Seffar, Evan; Chalmel, Frédéric; Alfaro, Javier Antonio; Pesquita, Catia; Massimo Zanzotto, Fabio; Stares, Mark; Symeonides, Stefan; Laird, Alexander; Long, Jean Alexandre; Descotes, Jean Luc; Pflieger, Delphine; Harrison, David; Filhol, Odile; Axelson, Håkan; Battail, Christophe
Publicado en: 2023
Editor: Zenodo
DOI: 10.5281/ZENODO.8214478

Performance comparison between federated and centralized learning with a deep learning model on Hoechst stained images

Autores: Alouges, Damien; Wolflein, Georg; Um, In Hwa; Harrison, David; Arandjelovic, Ognjen; Battail, Christophe; Gazut, Stéphane
Publicado en: 2023
Editor: Zenodo
DOI: 10.5281/ZENODO.8214501

Bio-informatics framework to study molecular and cellular similarity between 3D cell cultures and tissues

Autores: Bah Thierno Sidy; Jeanneret Florian; Bazelle Pauline; Quintard Clément; Tubbs Emily; Jonsson Gustav; Jiao Jie; Wang Jun; Werschler Nicolas; Laporte Camille; Pitaval Amandine; Pomeranz Gideon; Bissardon Caroline; Kaal Joris; Leopoldi alexandra; Hagelkruys Astrid; Long David A; Blandin Pierre; Achard Jean-Luc; Navarro Fabrice; Fouillet Yves; Penninger Josef M; Gidrol Xavier; Battail Christophe
Publicado en: 2023
Editor: Zenodo
DOI: 10.5281/ZENODO.8214459

Peer reviewed articles (1)

Sample-specific network analysis identifies gene co-expression patterns of immunotherapy response in clear cell renal cell carcinoma

Autores: Yin, Liangwei; Traversa, Pietro; Elati, Mohamed; Moreno, Yamir; Marek-Trzonkowska, Natalia; Battail, Christophe
Publicado en: iScience, 2025, ISSN 2589-0042
Editor: Elsevier
DOI: 10.1016/J.ISCI.2025.113061