Translational SYStemics: Personalised Medicine at the Interface of Translational Research and Systems Medicine

Informazioni relative al progetto

TranSYS

ID dell’accordo di sovvenzione: 860895

DOI

10.3030/860895

Progetto chiuso

Data della firma CE 19 Agosto 2019

Data di avvio 1 Settembre 2019

Data di completamento 30 Giugno 2024

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale

€ 3 916 285,67

Contributo UE

€ 3 916 285,67

Coordinato da

KATHOLIEKE UNIVERSITEIT LEUVEN
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

Documents, reports (6)

TranSYS guidelines & recommendations for CT design

TranSYS guidelines & recommendations for clinical trials design for Personalized Medicine and targeted drug treatment modalities

TranSYS white paper II

TranSYS white paper II: Road Map to develop an omics data-integrative PGx panel enhancing early molecular diagnosis of patients (WP1) and stratified PM in practice (WP3)

TranSYS white paper I

TranSYS white paper I: data integrative analytic strategies and hybrid approaches, implementations and role in PM

Economic model of the developed and validated preemptive pharmacogenomics genotyping panels

ESR14: Economic model of the developed and validated preemptive pharmacogenomics genotyping panels

Ethics plan and recommendations regarding emerging moral questions in personalized medicine

ESR4: Ethics plan and recommendations regarding emerging moral questions in personalized medicine

Open Science summary of all ETN research results

Open Science summary of all ETN research results via website

Demonstrators, pilots, prototypes (5)

A multi-level data integrative framework and tool for validation, interpretation and translation of multi-level patient subtyping

ESR2: A multi-level data integrative framework and tool for validation, interpretation and translation of multi-level patient subtyping

A multi-omics patient stratification strategy and tool using advanced pattern recognition for PM

ESR3: A multi-omics patient stratification strategy and tool using advanced pattern recognition for PM

User friendly app for LifeLines-Deep participants to consult a personal pharmacogenetic passport

ESR12: User friendly app for LifeLines-Deep participants to consult a personal pharmacogenetic passport

Pipeline for individual-specific network construction and corresponding module detection/comparison schemes

ESR1: Pipeline for individual-specific network construction and corresponding module detection/comparison schemes

Description of decentralized software ecosystem and acquired understanding of clinical trial related blockchain technology

ESR10: Description of decentralized software ecosystem and acquired understanding of clinical trial related blockchain technology

Other (5)

TranSYS School 1

Lead overlooking Body Training Council Natasa Przulj Details Annex 1 Part B Table 22b

Doctoral Schools

ESRs enrolled in doctoral school programmes regulated by M12

TranSYS School 3

Lead overlooking Body: Training Council (Natasa Przulj); Details Annex 1 - Part B - Table 2.2b

TranSYS Flagship conference event

Closing conference

TranSYS School 2

Lead overlooking Body: Training Council (Natasa Przulj); Details Annex 1 - Part B - Table 2.2b

Websites, patent fillings, videos etc. (2)

TranSYS intranet and extranet / SharePoint in place

Website for data sharing internal CO external PU Sharepoint for easy filling of reports and sharing documents within WGs within TranSYS Boards within TranSYS at large

TranSYS recruitment pages online with ESR vacancies posted (recruitment process+gender plan)

Pubblicazioni

Peer reviewed articles (12)

Decision support system and outcome prediction in a cohort of patients with necrotizing soft-tissue infections

Autori: Katz, Sonja; Suijker, Jaco; Hardt, Christopher; Madsen, Martin Bruun; Meij de Vries, Annebeth; Pijpe, Anouk; Skrede, Steinar; Hyldegaard, Ole; Solligård, Erik; Norrby-Teglund, Anna; Saccenti, Edoardo; Martins dos Santos, Vitor A.P.
Pubblicato in: Int J Med Inform., Numero 167, 2022, ISSN 1386-5056
Editore: Elsevier BV
DOI: 10.1016/j.ijmedinf.2022.104878

Economic evaluation in psychiatric pharmacogenomics: a systematic review

Autori: Kariofyllis Karamperis, Maria Koromina, Panagiotis Papantoniou, Maria Skokou, Filippos Kanellakis, Konstantinos Mitropoulos, Athanassios Vozikis, Daniel J. Müller, George P. Patrinos, Christina Mitropoulou
Pubblicato in: The Pharmacogenomics Journal, Numero 21/4, 2021, Pagina/e 533-541, ISSN 1470-269X
Editore: Nature Publishing Group
DOI: 10.1038/s41397-021-00249-1

Guided extraction of genome-scale metabolic models for the integration and analysis of omics data

Autori: Andrew Walakira, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon
Pubblicato in: Computational and Structural Biotechnology Journal, Numero 19, 2021, Pagina/e 3521-3530, ISSN 2001-0370
Editore: Elsevier
DOI: 10.1016/j.csbj.2021.06.009

Delineating significant genome-wide associations of variants with antipsychotic and antidepressant treatment response: implications for clinical pharmacogenomics

Autori: Maria Koromina, Stefania Koutsilieri, George P. Patrinos
Pubblicato in: Human Genomics, Numero 14/1, 2020, ISSN 1479-7364
Editore: Springer Nature
DOI: 10.1186/s40246-019-0254-y

Individual-specific networks for prediction modelling – A scoping review of methods

Autori: Gregorich, Mariella; Melograna, Federico; Sunqvist, Martina; Michiels, Stefan; van Steen, Kristel; Heinze, Georg
Pubblicato in: BMC Med Res Methodol, Numero 22, 2022, Pagina/e 62, ISSN 1471-2288
Editore: BioMed Central
DOI: 10.1186/s12874-022-01544-6

Integrative computational modeling to unravel novel potential biomarkers in hepatocellular carcinoma

Autori: Andrew Walakira, Cene Skubic, Nejc Nadižar, Damjana Rozman, Tadeja Režen, Miha Mraz, Miha Moškon,
Pubblicato in: Computers in Biology and Medicine, 2023, ISSN 0010-4825
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.compbiomed.2023.106957

The AIMe registry for artificial intelligence in biomedical research.

Autori: Julian Matschinske; Julian Matschinske; Nicolas Alcaraz; Arriel Benis; Martin Golebiewski; Dominik G. Grimm; Dominik G. Grimm; Lukas Heumos; Tim Kacprowski; Tim Kacprowski; Tim Kacprowski; Olga Lazareva; Markus List; Zakaria Louadi; Zakaria Louadi; Josch Konstantin Pauling; Nico Pfeifer; Richard Röttger; Veit Schwämmle; Gregor Sturm; Alberto Traverso; Kristel Van Steen; Kristel Van Steen; Martie
Pubblicato in: VOLUME=18;ISSUE=10;STARTPAGE=1128;ENDPAGE=1131;ISSN=1548-7091;TITLE=Nature Methods, Numero 2, 2021, ISSN 1548-7091
Editore: Nature Publishing Group
DOI: 10.1038/s41592-021-01241-0

Taking the risk. A systematic review of ethical reasons and moral arguments in the clinical use of polygenic risk scores

Autori: Lara Andreoli, Hilde Peeters, Kristel Van Steen, Kris Dierickx
Pubblicato in: American Journal of medical genetics, Numero 194 issue 7, 2024, ISSN 1552-4825
Editore: Wiley-Liss Inc
DOI: 10.1002/ajmg.a.63584

Detecting gene–gene interactions from GWAS using diffusion kernel principal components

Autori: Andrew Walakira; Junior Ocira; Diane Duroux; Ramouna Fouladi; Miha Moškon; Damjana Rozman; Kristel Van Steen
Pubblicato in: BMC Bioinformatics 23, Numero 1, 2022, Pagina/e Article number: 57 (2022), ISSN 1471-2105
Editore: BioMed Central
DOI: 10.1186/s12859-022-04580-7

An overview of machine learning methods for monotherapy drug response prediction

Autori: Farzaneh Firoozbakht, Behnam Yousefi, Benno Schwikowski
Pubblicato in: Briefings in Bioinformatics, 2021, ISSN 1467-5463
Editore: Oxford University Press
DOI: 10.1093/bib/bbab408

PLEX.I: a tool to discover features in multiplex networks that reflect clinical variation

Autori: Behnam Yousefi; Behnam Yousefi; Behnam Yousefi; Farzaneh Firoozbakht; Federico Melograna; Benno Schwikowski; Kristel Van Steen; Kristel Van Steen
Pubblicato in: Frontiers in Genetics, Numero 3, 2023, ISSN 1664-8021
Editore: Frontiers Media
DOI: 10.3389/fgene.2023.1274637

Capturing the dynamics of microbial interactions through individual-specific networks

Autori: Behnam Yousefi; Behnam Yousefi; Behnam Yousefi; Federico Melograna; Gianluca Galazzo; Niels van Best; Niels van Best; Monique Mommers; John Penders; John Penders; Benno Schwikowski; Kristel Van Steen; Kristel Van Steen
Pubblicato in: Frontiers in microbiology., Numero 14:1170391, 2023, ISSN 1664-302X
Editore: Frontiers Media
DOI: 10.3389/fmicb.2023.1170391