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

Informazioni relative al progetto

OPTIMA

ID dell’accordo di sovvenzione: 101034347

DOI

10.3030/101034347

Data della firma CE 18 Ottobre 2021

Data di avvio 1 Ottobre 2021

Data di completamento 30 Settembre 2026

Finanziato da

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

Costo totale

€ 22 689 966,00

Contributo UE

€ 10 459 997,00

Coordinato da

STICHTING EUROPEAN UROLOGICAL FOUNDATION
Netherlands

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

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

Autori: 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
Pubblicato in: Clinical Epidemiology, Numero Volume 16, 2024, Pagina/e 417-429, ISSN 1179-1349
Editore: 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

Autori: 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
Pubblicato in: Therapeutic Advances in Medical Oncology, Numero 16, 2024, ISSN 1758-8359
Editore: SAGE Publications
DOI: 10.1177/17588359241253115

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

Autori: Rui Li, Vaibhav Sharma, Subasini Thangamani & Artur Yakimovich
Pubblicato in: Frontiers in Bioinformatics, 2022, ISSN 2673-7647
Editore: 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

Autori: 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
Pubblicato in: Translational Lung Cancer Research, Numero 13, 2024, Pagina/e 2187-2201, ISSN 2218-6751
Editore: 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

Autori: 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
Pubblicato in: Frontiers in Oncology, Numero 14, 2024, ISSN 2234-943X
Editore: 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

Autori: 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,
Pubblicato in: Scientific Reports, Numero 14, 2024, ISSN 2045-2322
Editore: Nature Publishing Group
DOI: 10.1038/s41598-024-69006-1

Markov modeling for cost-effectiveness using federated health data network

Autori: 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
Pubblicato in: Journal of the American Medical Informatics Association, Numero 31, 2024, Pagina/e 1093-1101, ISSN 1067-5027
Editore: Hanley and Belfus, Inc.
DOI: 10.1093/jamia/ocae044

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

Autori: 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
Pubblicato in: JAMA Network Open, Numero 7, 2024, Pagina/e e2434622, ISSN 2574-3805
Editore: 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

Autori: Nora Tabea Sibert, Johannes Soff, Sebastiano La Ferla, Maria Quaranta, Andreas Kremer, Christoph Kowalski
Pubblicato in: Cancers, Numero 16, 2024, Pagina/e 2069, ISSN 2072-6694
Editore: 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

Autori: Kerli Mooses, Aleksandra Šavrova, Maarja Pajusalu, Marek Oja, Sirli Tamm, Markus Haug, Lee Padrik, Made Laanpere, Anneli Uusküla, Raivo Kolde
Pubblicato in: Preventive Medicine, Numero 183, 2024, Pagina/e 107982, ISSN 0091-7435
Editore: Academic Press
DOI: 10.1016/j.ypmed.2024.107982

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

Autori: 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
Pubblicato in: npj Digital Medicine, Numero 8, 2025, ISSN 2398-6352
Editore: Springer Science and Business Media LLC
DOI: 10.1038/s41746-025-01591-5