Responsible prediction of gene expression: mitigating genetic risk profiling

Informazioni relative al progetto

PredicGenX

ID dell’accordo di sovvenzione: 101107292

DOI

10.3030/101107292

Progetto chiuso

Data della firma CE 28 Marzo 2023

Data di avvio 1 Maggio 2023

Data di completamento 31 Agosto 2025

Finanziato da

• Marie Skłodowska-Curie Actions (MSCA)

Costo totale

Nessun dato

Contributo UE

€ 175 920,00

Coordinato da

UNIVERSITEIT ANTWERPEN
Belgium

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

Data Management Plan (1)

Data Management Plan

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by the action. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved.

Documents, reports (1)

Communication, Dissemination & Exploitation Plan

The plan describes the planned measures to maximize the impact of the project, including the dissemination and exploitation measures that are planned, and the target group(s) addressed. Regarding communication measures and public engagement strategy, the aim is to inform and reach out to society and show the activities performed, and the use and the benefits the project will have for citizens.

Pubblicazioni

Peer reviewed articles (4)

Deconstructing self-fulfilling outcome measures in infertility treatment

Autori: Mayli Mertens, Heidi Mertes
Pubblicato in: Bioethics, Numero online first, 2023, ISSN 1467-8519
Editore: Wiley
DOI: 10.1111/bioe.13226

Generative artificial intelligence and ethical considerations in health care: a scoping review and ethics checklist

Autori: Yilin Ning, Salinelat Teixayavong, Yuqing Shang, Julian Savulescu, Vaishaanth Nagaraj, Di Miao, Mayli Mertens, Daniel Shu Wei Ting, Jasmine Chiat Ling Ong, Mingxuan Liu, Jiuwen Cao, Michael Dunn, Roger Vaughan, Marcus Eng Hock Ong, Joseph Jao-Yiu Sung, Eric J Topol, Nan Liu
Pubblicato in: The Lancet Digital Health, Numero 6, 2024, ISSN 2589-7500
Editore: Elsevier BV
DOI: 10.1016/S2589-7500(24)00143-2

The self-fulfilling prophecy in medicine

Autori: Mayli Mertens
Pubblicato in: Theoretical Medicine and Bioethics, Numero 45, 2024, ISSN 1386-7415
Editore: Springer Science and Business Media LLC
DOI: 10.1007/s11017-024-09677-z

AI and machine learning in resuscitation: Ongoing research, new concepts, and key challenges

Autori: Yohei Okada, Mayli Mertens, Sean Shao Wei Lam, Marcus Eng Hock Ong
Pubblicato in: Resuscitation Plus, Numero Volume 15, 100435, 2023, ISSN 2666-5204
Editore: Elsevier
DOI: 10.1016/j.resplu.2023.100435