Optimal treatment for patients with solid tumours in Europe through Artificial intelligence

Informations projet

OPTIMA

N° de convention de subvention: 101034347

DOI

10.3030/101034347

Date de signature de la CE 18 Octobre 2021

Date de début 1 Octobre 2021

Date de fin 30 Septembre 2026

Financé au titre de

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

Coût total

€ 22 689 966,00

Contribution de l’UE

€ 10 459 997,00

Coordonné par

STICHTING EUROPEAN UROLOGICAL FOUNDATION
Netherlands

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

Documents, reports (5)

User personas & champions identified
A report on identified research questions and guidelines, including process of selection and prioritisation

A report on identified research questions and guidelines, including process of selection andprioritisation

Report on project-specific website and social media platforms

Report on projectspecific website and social media platforms

Initial report on the legal and ethical framework of the project
Interim report on project dissemination and communication activities

Publications

Peer reviewed articles (11)

The Impact of the COVID-19 Pandemic on Incidence and Short-Term Survival for Common Solid Tumours in the United Kingdom: A Cohort Analysis

Auteurs: Nicola Barclay, Theresa Burkard, Edward Burn, Antonella Delmestri, Andrea Miquel Dominguez, Asieh Golozar, Carlos Guarner-Argente, Francesc Avilés-Jurado, Wai Yi Man, Àlvar Roselló Serrano, Andreas Rosen, Eng Hooi Tan, Ilona Tietzova, Daniel Prieto Alhambra, Danielle Newby
Publié dans: Clinical Epidemiology, Numéro Volume 16, 2024, Page(s) 417-429, ISSN 1179-1349
Éditeur: Dove Medical Press Ltd
DOI: 10.2147/clep.s463160

Collateral effects of the COVID-19 pandemic on endocrine treatments for breast and prostate cancer in the UK: a cohort study

Auteurs: Nicola L. Barclay, Marti Català, Annika M. Jödicke, Daniel Prieto-Alhambra, Danielle Newby, Antonella Delmestri, Wai Yi Man, Àlvar Roselló Serrano, Marta Pineda Moncusí, null null
Publié dans: Therapeutic Advances in Medical Oncology, Numéro 16, 2024, ISSN 1758-8359
Éditeur: SAGE Publications
DOI: 10.1177/17588359241253115

Open-Source Biomedical Image Analysis Models: A Meta-Analysis and Continuous Survey

Auteurs: Rui Li, Vaibhav Sharma, Subasini Thangamani & Artur Yakimovich
Publié dans: Frontiers in Bioinformatics, 2022, ISSN 2673-7647
Éditeur: Frontiers Media S.A
DOI: 10.3389/fbinf.2022.912809

Incidence, prevalence, and survival of lung cancer in the United Kingdom from 2000–2021: a population-based cohort study

Auteurs: George Corby, Nicola L. Barclay, Eng Hooi Tan, Edward Burn, Antonella Delmestri, Talita Duarte-Salles, Asieh Golozar, Wai Yi Man, Ilona Tietzova, Daniel Prieto-Alhambra, Danielle Newby
Publié dans: Translational Lung Cancer Research, Numéro 13, 2024, Page(s) 2187-2201, ISSN 2218-6751
Éditeur: AME Publishing Company
DOI: 10.21037/tlcr-24-241

The impact of the UK COVID-19 lockdown on the screening, diagnostics and incidence of breast, colorectal, lung and prostate cancer in the UK: a population-based cohort study

Auteurs: Nicola L. Barclay, Marta Pineda Moncusí, Annika M. Jödicke, Daniel Prieto-Alhambra, Berta Raventós, Danielle Newby, Antonella Delmestri, Wai Yi Man, Xihang Chen, Marti Català
Publié dans: Frontiers in Oncology, Numéro 14, 2024, ISSN 2234-943X
Éditeur: Frontiers Media S. A.
DOI: 10.3389/fonc.2024.1370862

Trends in incidence, prevalence, and survival of breast cancer in the United Kingdom from 2000 to 2021

Auteurs: Nicola L. Barclay, Edward Burn, Antonella Delmestri, Talita Duarte-Salles, Asieh Golozar, Wai Yi Man, Eng Hooi Tan, Ilona Tietzova, null null, James N’Dow, Wim Witjes, Emma Jane Smith, Carla Bezuidenhout, Sarah Collen, Karin Plass, Torsten Gerriet Blum, Angelika Borkowetz, Peter-Paul Willemse, Philip Cornford, Saeed Dabestani, Maurice Schlief, Juan Gómez Rivas, Anders Bjartell, Monique Roobol,
Publié dans: Scientific Reports, Numéro 14, 2024, ISSN 2045-2322
Éditeur: Nature Publishing Group
DOI: 10.1038/s41598-024-69006-1

Markov modeling for cost-effectiveness using federated health data network

Auteurs: Markus Haug, Marek Oja, Maarja Pajusalu, Kerli Mooses, Sulev Reisberg, Jaak Vilo, Antonio Fernández Giménez, Thomas Falconer, Ana Danilović, Filip Maljkovic, Dalia Dawoud, Raivo Kolde
Publié dans: Journal of the American Medical Informatics Association, Numéro 31, 2024, Page(s) 1093-1101, ISSN 1067-5027
Éditeur: Hanley and Belfus, Inc.
DOI: 10.1093/jamia/ocae044

Incidence, Prevalence, and Survival of Prostate Cancer in the UK

Auteurs: Eng Hooi Tan, Edward Burn, Nicola L. Barclay, Antonella Delmestri, Wai Yi Man, Asieh Golozar, Àlvar Roselló Serrano, Talita Duarte-Salles, Philip Cornford, Daniel Prieto Alhambra, Danielle Newby, null null
Publié dans: JAMA Network Open, Numéro 7, 2024, Page(s) e2434622, ISSN 2574-3805
Éditeur: American Medical Association
DOI: 10.1001/jamanetworkopen.2024.34622

Transforming a Large-Scale Prostate Cancer Outcomes Dataset to the OMOP Common Data Model—Experiences from a Scientific Data Holder’s Perspective

Auteurs: Nora Tabea Sibert, Johannes Soff, Sebastiano La Ferla, Maria Quaranta, Andreas Kremer, Christoph Kowalski
Publié dans: Cancers, Numéro 16, 2024, Page(s) 2069, ISSN 2072-6694
Éditeur: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/cancers16112069

Using electronic health records to evaluate the adherence to cervical cancer prevention guidelines: A cross-sectional study

Auteurs: Kerli Mooses, Aleksandra Šavrova, Maarja Pajusalu, Marek Oja, Sirli Tamm, Markus Haug, Lee Padrik, Made Laanpere, Anneli Uusküla, Raivo Kolde
Publié dans: Preventive Medicine, Numéro 183, 2024, Page(s) 107982, ISSN 0091-7435
Éditeur: Academic Press
DOI: 10.1016/j.ypmed.2024.107982

Advancing breast, lung and prostate cancer research with federated learning. A systematic review

Auteurs: Anshu Ankolekar, Sebastian Boie, Maryam Abdollahyan, Emanuela Gadaleta, Seyed Alireza Hasheminasab, Guang Yang, Charles Beauville, Nikolaos Dikaios, George Anthony Kastis, Michael Bussmann, Claude Chelala, Sara Khalid, Hagen Kruger, Philippe Lambin, Giorgos Papanastasiou, null null
Publié dans: npj Digital Medicine, Numéro 8, 2025, ISSN 2398-6352
Éditeur: Springer Science and Business Media LLC
DOI: 10.1038/s41746-025-01591-5