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Please use this identifier to cite or link to this item: 10.1016/j.molmed.2023.09.004
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dc.contributor.authorEU-AtheroNET COST Action CA21153-
dc.contributor.authorSopic, Miron-
dc.contributor.authorVilne, Baiba-
dc.contributor.authorGerdts, Eva-
dc.contributor.authorDevaux, Yvan-
dc.contributor.authorMagni, Paolo-
dc.date.accessioned2023-12-01T02:05:01Z-
dc.date.available2023-12-01T02:05:01Z-
dc.date.issued2023-12-
dc.identifier.citationEU-AtheroNET COST Action CA21153 , Sopic , M , Vilne , B , Gerdts , E , Devaux , Y & Magni , P 2023 , ' Multiomics tools for improved atherosclerotic cardiovascular disease management ' , Trends in Molecular Medicine , vol. 29 , no. 12 , pp. 983-995 . https://doi.org/10.1016/j.molmed.2023.09.004-
dc.identifier.issn1471-4914-
dc.identifier.otherMendeley: b29dcd76-c179-3886-850a-3fe005866d2f-
dc.identifier.urihttps://dspace.rsu.lv/jspui/handle/123456789/15019-
dc.descriptionFunding Information: This article is based upon work from EU-AtheroNET COST Action CA21153 funded by European Cooperation in Science and Technology (COST). M.S. is supported by the Ministry of Education, Science and Technological Development , Republic of Serbia through Grant Agreement with University of Belgrade-Faculty of Pharmacy No: 451-03-9/2021-14/200161, European Union (HORIZON-MSCA-2021-SE-01-01 - MSCA Staff Exchanges 2021 CardioSCOPE 101086397, HORIZON-MSCA-2021-PF- MAACS 101064175). E.G. is supported by the Research Council of Norway co-founding of the European Union AtheroNET COST Action CA21153. F.T. is supported by a postdoctoral research grant by the Portuguese Foundation for Science and Technology (FCT) through Cardiovascular R&D Center (UnIC, UIDP/00051/2020). S.K. is supported by a Tel-Hai college fellowship and the Israel Innovation Authority. S.B.W. is supported by the MCST COVID-19 R&D Fund 2020 COV.RD.2020-11: TargetID, HORIZON-WIDERA-2022-TALENTS-01 Project 101086768 BioGeMT and HORIZON EIC 2022 PATHFINDER CHALLENGE CARDIOGENOMICS Project 101114924 TargetMI, the latter two being funded by the European Union . However, views and opinions expressed are those of the author only and do not necessarily reflect those of the European Union or of the granting authorities. Neither the European Union nor the granting authorities can be held responsible for them. Y.D. has received funding from the EU Horizon 2020 project COVIRNA (grant agreement # 101016072 ), the National Research Fund (grants # C14/BM/8225223 , C17/BM/11613033 and COVID-19/2020-1/14719577/miRCOVID ), the Ministry of Higher Education and Research, and the Heart Foundation-Daniel Wagner of Luxembourg. P.M. is supported by the European Union (AtheroNET COST Action CA21153; HORIZON-MSCA-2021-SE-01-01 - MSCA Staff Exchanges 2021 CardioSCOPE 101086397). Publisher Copyright: © 2023 The Authors-
dc.description.abstractMultiomics studies offer accurate preventive and therapeutic strategies for atherosclerotic cardiovascular disease (ASCVD) beyond traditional risk factors. By using artificial intelligence (AI) and machine learning (ML) approaches, it is possible to integrate multiple ‘omics and clinical data sets into tools that can be utilized for the development of personalized diagnostic and therapeutic approaches. However, currently multiple challenges in data quality, integration, and privacy still need to be addressed. In this opinion, we emphasize that joined efforts, exemplified by the AtheroNET COST Action, have a pivotal role in overcoming the challenges to advance multiomics approaches in ASCVD research, with the aim to foster more precise and effective patient care.en
dc.format.extent13-
dc.format.extent709838-
dc.language.isoeng-
dc.relation.ispartofTrends in Molecular Medicine-
dc.rightsinfo:eu-repo/semantics/openAccess-
dc.subjectartificial intelligence-
dc.subjectatherosclerotic cardiovascular disease-
dc.subjectdata integration-
dc.subjectmachine learning-
dc.subjectmultiomics-
dc.subject3.3 Health sciences-
dc.subject1.2 Computer and information sciences-
dc.subject1.1. Scientific article indexed in Web of Science and/or Scopus database-
dc.subjectMolecular Medicine-
dc.subjectMolecular Biology-
dc.subjectSDG 3 - Good Health and Well-being-
dc.titleMultiomics tools for improved atherosclerotic cardiovascular disease managementen
dc.type/dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/systematicreview-
dc.identifier.doi10.1016/j.molmed.2023.09.004-
dc.contributor.institutionBioinformatics Group-
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85173765046&partnerID=8YFLogxK-
dc.identifier.urlhttp://www.ncbi.nlm.nih.gov/pubmed/37806854-
dc.identifier.urlhttps://www.mendeley.com/catalogue/b29dcd76-c179-3886-850a-3fe005866d2f/-
dc.description.statusPeer reviewed-
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