Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/100200
Title: Routine omics collection is a golden opportunity for European human research in space and analog environments
Authors: Cope, Henry
Willis, Craig R. G.
MacKay, Matthew J.
Rutter, Lindsay A.
Toh, Li Shean
Williams, Philip M.
Herranz, Raul
Borg, Joseph J.
Bezdan, Daniela
Giacomello, Stefania
Muratani, Masafumi
Mason, Christopher E.
Etheridge, Timothy
Szewczyk, Nathaniel J.
Keywords: Space flight -- Computer simulation
Personalized medicine -- Economic aspects
International Space Station
Space stations -- International cooperation
Longitudinal method
Data protection -- Law and legislation
Astronauts
Biobanks
Artificial intelligence -- Case studies
Issue Date: 2022
Publisher: Cell Press
Citation: Cope, H., Willis, C.R.G., MacKay, M.J., Rutter, L.A., Toh, L.S., Williams, P.M…. Szewczyk, N.J. (2022). Routine omics collection is a golden opportunity for European human research in space and analog environments. Patterns, 3, 1-16
Abstract: Widespread generation and analysis of omics data have revolutionized molecular medicine on Earth, yet its power to yield new mechanistic insights and improve occupational health during spaceflight is still to be fully realized in humans. Nevertheless, rapid technological advancements and ever-regular spaceflight programs mean that longitudinal, standardized, and cost-effective collection of human space omics data are firmly within reach. Here, we consider the practicality and scientific return of different sampling methods and omic types in the context of human spaceflight. We also appraise ethical and legal considerations pertinent to omics data derived from European astronauts and spaceflight participants (SFPs). Ultimately, we propose that a routine omics collection program in spaceflight and analog environments presents a golden opportunity. Unlocking this bright future of artificial intelligence (AI)-driven analyses and personalized medicine approaches will require further investigation into best practices, including policy design and standardization of omics data, metadata, and sampling methods.
URI: https://www.um.edu.mt/library/oar/handle/123456789/100200
Appears in Collections:Scholarly Works - FacHScABS



Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.