Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

• URL: http://arxiv.org/abs/2112.12554v1
• Date: Wed, 22 Dec 2021 05:33:15 GMT
• Title: Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
• Authors: Ryan T. Scott (1), Erik L. Antonsen (2), Lauren M. Sanders (3), Jaden J.A. Hastings (4), Seung-min Park (5), Graham Mackintosh (6), Robert J. Reynolds (7), Adrienne L. Hoarfrost (8), Aenor Sawyer (9), Casey S. Greene (10), Benjamin S. Glicksberg (11), Corey A. Theriot (12 and 13), Daniel C. Berrios (1), Jack Miller (1), Joel Babdor (14), Richard Barker (15), Sergio E. Baranzini (16), Afshin Beheshti (1), Stuart Chalk (17), Guillermo M. Delgado-Aparicio (18), Melissa Haendel (19), Arif A. Hamid (20), Philip Heller (21), Daniel Jamieson (22), Katelyn J. Jarvis (9), John Kalantari (23), Kia Khezeli (23), Svetlana V. Komarova (24), Matthieu Komorowski (25), Prachi Kothiyal (26), Ashish Mahabal (27), Uri Manor (28), Hector Garcia Martin (29 and 30 and 31), Christopher E. Mason (4), Mona Matar (32), George I. Mias (33), Jerry G. Myers, Jr. (32), Charlotte Nelson (16), Jonathan Oribello (3), Patricia Parsons-Wingerter (34), R. K. Prabhu (35), Amina Ann Qutub (36), Jon Rask (37), Amanda Saravia-Butler (38), Suchi Saria (39 and 40), Nitin Kumar Singh (41), Frank Soboczenski (42), Michael Snyder (43), Karthik Soman (16), David Van Valen (44), Kasthuri Venkateswaran (41), Liz Warren (45), Liz Worthey (46), Jason H. Yang (47), Marinka Zitnik (48), Sylvain V. Costes (49) ((1) KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (2) Department of Emergency Medicine, Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA., (3) Blue Marble Space Institute of Science, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (4) Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA., (5) Department of Urology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA., (6) Bay Area Environmental Research Institute, NASA Ames Research Center, Moffett Field, CA, USA., (7) Mortality Research & Consulting, Inc., Houston, TX, USA., (8) Universities Space Research Association (USRA), Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (9) UC Space Health, Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA, USA., (10) Center for Health AI, Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA., (11) Hasso Plattner Institute for Digital Health at Mount Sinai, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA., (12) Department of Preventive Medicine and Community Health, UTMB, Galveston, TX, USA., (13) Human Health and Performance Directorate, NASA Johnson Space Center, Houston, TX, USA., (14) Department of Microbiology and Immunology, Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, CA, USA., (15) The Gilroy AstroBiology Research Group, The University of Wisconsin, Madison, Madison, WI, USA., (16) Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA., (17) Department of Chemistry, University of North Florida, Jacksonville, FL, USA., (18) Data Science Analytics, Georgia Institute of Technology, Lima, Peru., (19) Center for Health AI, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA., (20) Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA., (21) Department of Computer Science, College of Science, San Jos\'e State University, San Jose, CA, USA., (22) Biorelate, Manchester, United Kingdom., (23) Center for Individualized Medicine, Department of Surgery, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., (24) Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada., (25) Faculty of Medicine, Department of Surgery and Cancer, Imperial College London, London, United Kingdom., (26) SymbioSeq LLC, NASA Johnson Space Center, Ashburn, VA, USA., (27) Center for Data Driven Discovery, California Institute of Technology, Pasadena, CA, USA., (28) Waitt Advanced Biophotonics Center, Chan-Zuckerberg Imaging Scientist Fellow, Salk Institute for Biological Studies, La Jolla, CA, USA., (29) Biological Systems and Engineering Division, Lawrence Berkeley National Lab, Berkeley, CA, USA., (30) DOE Agile BioFoundry, Emeryville, CA, USA., (31) Joint BioEnergy Institute, Emeryville, CA, USA., (32) Human Research Program Cross-cutting Computational Modeling Project, NASA John H. Glenn Research Center, Cleveland, OH, USA., (33) Institute for Quantitative Health Science and Engineering, Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA., (34) Low Exploration Gravity Technology, NASA John H. Glenn Research Center, Cleveland, OH, USA., (35) Universities Space Research Association (USRA), Human Research Program Cross-cutting Computational Modeling Project, NASA John H. Glenn Research Center, Cleveland, OH, USA., (36) AI MATRIX Consortium, Department of Biomedical Engineering, University of Texas, San Antonio and UT Health Sciences, San Antonio, TX, USA., (37) Office of the Center Director, NASA Ames Research Center, Moffett Field, CA, USA., (38) Logyx, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (39) Computer Science, Statistics, and Health Policy, Johns Hopkins University, Baltimore, MD, USA., (40) ML, AI and Healthcare Lab, Bayesian Health, New York, NY, USA., (41) Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, USA., (42) SPHES, Medical Faculty, King's College London, London, United Kingdom., (43) Department of Genetics, Stanford School of Medicine, Stanford, CA, USA., (44) Department of Biology, California Institute of Technology, Pasadena, CA, USA., (45) ISS National Laboratory, Center for the Advancement of Science in Space, Melbourne, FL, USA., (46) UAB Center for Computational Biology and Data Science, University of Alabama, Birmingham, Birmingham, AL, USA., (47) Center for Emerging and Re-Emerging Pathogens, Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ, USA., (48) Department of Biomedical Informatics, Harvard Medical School, Harvard Data Science, Broad Institute of MIT and Harvard, Harvard University, Boston, MA, USA., (49) Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA.)
• Abstract summary: We propose an appropriately autonomous and intelligent Precision Space Health system. It will monitor, aggregate, and assess biomedical statuses. It will analyze and predict personalized adverse health outcomes.
• Score: 0.8838373492847601
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: 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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