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Title: | Cohort profile: The Belgian I AM frontier prospective cohort study for comprehensive health outcome exploration | Authors: | HEYLEN, Dries De Clerck, Charlotte PUSPARUM, Murih van den Heuvel, Rosette CORREA ROJO, Alejandro Baggerman, Geert Standaert, Arnout THEUNIS, Jan HOOYBERGHS, Jef Ertaylan, Gokhan Lambrechts, Nathalie |
Editors: | Beiki, Omid | Issue Date: | 2025 | Publisher: | PUBLIC LIBRARY SCIENCE | Source: | Plos One, 20 (6) (Art N° e0326024) | Abstract: | Objectives The I AM Frontier cohort was set up to support proof-of-concepts aimed at personalized prevention and health promotion. The study was designed to identify patterns, markers and processes involved in the spectrum between health and early disease onset, with the aim of generating actionable insights in a clinical setting.Study design A prospective cohort study. The study was approved by the ethics committee of the Antwerp University Hospital (RegN degrees: B300201938600).Methods Data collection in the I AM Frontier study spanned 12 months as a longitudinal small-scale cohort study (n = 30) conducted in the Antwerp region of Flanders, Belgium. Participants were employees of the company hosting the study, who did not have a clinical diagnosis and were between 45-60 years old.Results Even though no severe health problems were recorded at baseline, participants reported several physical complaints. There was a clear difference in longitudinal variation between clinical and research grade omics types, which might have affected their respective ability to detect intermediate molecular changes that were be linked to phenotype changes.Conclusion By integrating findings from the IAF cohort into a large-scale cohort on personalized prevention, and incorporating new technologies for microsample data collection and participant engagement, we can develop more precise and individualized health recommendations. | Notes: | Heylen, D; Ertaylan, G (corresponding author), Flemish Inst Technol Res VITO, Environm Intelligence Unit, Mol, Belgium.; Heylen, D (corresponding author), Hasselt Univ, Data Sci Inst DSI, Theory Lab, CENSTAT, Diepenbeek, Belgium. dries.heylen@vito.be; gokhan.ertaylan@vito.be |
Document URI: | http://hdl.handle.net/1942/46392 | DOI: | 10.1371/journal.pone.0326024 | ISI #: | 001508050900007 | Rights: | 2025 Heylen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | Category: | A1 | Type: | Journal Contribution |
Appears in Collections: | Research publications |
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