Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developme...
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creator | Scott, Ryan T Antonsen, Erik L Sanders, Lauren M Hastings, Jaden J A Seung-min, Park Mackintosh, Graham Reynolds, Robert J Hoarfrost, Adrienne L Sawyer, Aenor Greene, Casey S Glicksberg, Benjamin S Theriot, Corey A Berrios, Daniel C Miller, Jack Babdor, Joel Barker, Richard Baranzini, Sergio E Beheshti, Afshin Chalk, Stuart Delgado-Aparicio, Guillermo M Haendel, Melissa Hamid, Arif A Heller, Philip Jamieson, Daniel Jarvis, Katelyn J Kalantari, John Khezeli, Kia Komarova, Svetlana V Komorowski, Matthieu Kothiyal, Prachi Mahabal, Ashish Manor, Uri Hector Garcia Martin Mason, Christopher E Matar, Mona Mias, George I Myers, Jerry G Jr Nelson, Charlotte Oribello, Jonathan Parsons-Wingerter, Patricia Prabhu, R K Qutub, Amina Ann Rask, Jon Saravia-Butler, Amanda Saria, Suchi Singh, Nitin Kumar Soboczenski, Frank Snyder, Michael Soman, Karthik David Van Valen Venkateswaran, Kasthuri Warren, Liz Worthey, Liz Yang, Jason H Zitnik, Marinka Costes, Sylvain V |
description | Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses; analyze and predict personalized adverse health outcomes; adapt and respond to newly accumulated data; and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. In the next decade, biomonitoring technology, biomarker science, spacecraft hardware, intelligent software, and streamlined data management must mature and be woven together into a Precision Space Health system to enable humanity to thrive in deep space. |
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To effectively mitigate myriad space health hazards, paradigm shifts in data and space health systems are necessary to enable Earth-independence, rather than Earth-reliance. Promising developments in the fields of artificial intelligence and machine learning for biology and health can address these needs. We propose an appropriately autonomous and intelligent Precision Space Health system that will monitor, aggregate, and assess biomedical statuses; analyze and predict personalized adverse health outcomes; adapt and respond to newly accumulated data; and provide preventive, actionable, and timely insights to individual deep space crew members and iterative decision support to their crew medical officer. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration, on future applications of artificial intelligence in space biology and health. 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subjects | Aeronautics Artificial intelligence Biology Biomarkers Biomonitoring Data management Deep space Hazard mitigation Health hazards Low earth orbits Machine learning Space exploration |
title | Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health |
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