Multiomics tools for improved atherosclerotic cardiovascular disease management
Аутори
Sopić, MironVilne, Baiba
Gerdts, Eva
Trindade, Fábio
Uchida, Shizuka
Khatib, Soliman
Wettinger, Stephanie Bezzina
Devaux, Yvan
Magni, Paolo
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
Multiomics 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.
Кључне речи:
machine learning / artificial intelligence / atherosclerotic cardiovascular disease / data integration / multiomicsИзвор:
Trends in Molecular Medicine, 2023, 29, 12, 983-995Издавач:
- Elsevier Ltd
Финансирање / пројекти:
- Министарство науке, технолошког развоја и иновација Републике Србије, институционално финансирање - 200161 (Универзитет у Београду, Фармацеутски факултет) (RS-MESTD-inst-2020-200161)
- European Union (HORIZON-MSCA-2021-SE-01-01 - MSCA Staff Exchanges 2021 CardioSCOPE 101086397, HORIZON-MSCA-2021-PF- MAACS 101064175).
- The Research Council of Norway co-founding of the European Union AtheroNET COST Action CA21153. F.T.
- 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.
- The European Union (AtheroNET COST Action CA21153; HORIZON-MSCA-2021- SE-01-01 - MSCA Staff Exchanges 2021 CardioSCOPE 101086397).
DOI: 10.1016/j.molmed.2023.09.004
ISSN: 1471-4914
PubMed: 37806854
Scopus: 2-s2.0-85173765046
Институција/група
PharmacyTY - JOUR AU - Sopić, Miron AU - Vilne, Baiba AU - Gerdts, Eva AU - Trindade, Fábio AU - Uchida, Shizuka AU - Khatib, Soliman AU - Wettinger, Stephanie Bezzina AU - Devaux, Yvan AU - Magni, Paolo PY - 2023 UR - https://farfar.pharmacy.bg.ac.rs/handle/123456789/5145 AB - Multiomics 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. PB - Elsevier Ltd T2 - Trends in Molecular Medicine T1 - Multiomics tools for improved atherosclerotic cardiovascular disease management VL - 29 IS - 12 SP - 983 EP - 995 DO - 10.1016/j.molmed.2023.09.004 ER -
@article{ author = "Sopić, Miron and Vilne, Baiba and Gerdts, Eva and Trindade, Fábio and Uchida, Shizuka and Khatib, Soliman and Wettinger, Stephanie Bezzina and Devaux, Yvan and Magni, Paolo", year = "2023", abstract = "Multiomics 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.", publisher = "Elsevier Ltd", journal = "Trends in Molecular Medicine", title = "Multiomics tools for improved atherosclerotic cardiovascular disease management", volume = "29", number = "12", pages = "983-995", doi = "10.1016/j.molmed.2023.09.004" }
Sopić, M., Vilne, B., Gerdts, E., Trindade, F., Uchida, S., Khatib, S., Wettinger, S. B., Devaux, Y.,& Magni, P.. (2023). Multiomics tools for improved atherosclerotic cardiovascular disease management. in Trends in Molecular Medicine Elsevier Ltd., 29(12), 983-995. https://doi.org/10.1016/j.molmed.2023.09.004
Sopić M, Vilne B, Gerdts E, Trindade F, Uchida S, Khatib S, Wettinger SB, Devaux Y, Magni P. Multiomics tools for improved atherosclerotic cardiovascular disease management. in Trends in Molecular Medicine. 2023;29(12):983-995. doi:10.1016/j.molmed.2023.09.004 .
Sopić, Miron, Vilne, Baiba, Gerdts, Eva, Trindade, Fábio, Uchida, Shizuka, Khatib, Soliman, Wettinger, Stephanie Bezzina, Devaux, Yvan, Magni, Paolo, "Multiomics tools for improved atherosclerotic cardiovascular disease management" in Trends in Molecular Medicine, 29, no. 12 (2023):983-995, https://doi.org/10.1016/j.molmed.2023.09.004 . .