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

/ Authors

Ryan T. Scott, E. Antonsen, L. Sanders, Jaden J. A. Hastings, Seung-min Park, Graham Mackintosh, R. Reynolds, Adrienne L. Hoarfrost, Aenor J. Sawyer, C. Greene

and 214 more authors

Benjamin S. Glicksberg, C. Theriot, D. Berrios, Jack M. Miller, Joel Babdor, Richard Barker, S. Baranzini, Afshin Beheshti, S. Chalk, Guillermo M. Delgado-Aparicio, M. Haendel, Arif A. Hamid, P. Heller, Daniel Jamieson, K. Jarvis, John Kalantari, Kia Khezeli, S. Komarova, M. Komorowski, Prachi Kothiyal, A. Mahabal, Uri Manor, H. Martín, Christopher E. Mason, Mona Matar, G. Mias, J. Myers, Jr., Charlotte A. Nelson, Jonathan Oribello, P. Parsons-Wingerter, R. Prabhu, A. Qutub, J. Rask, Amanda M. Saravia-Butler, S. Saria, N. Singh, Frank Soboczenski, M. Snyder, Karthik Soman, D. V. Valen, K. Venkateswaran, L. Warren, Liz Worthey, Jason H. Yang, M. Zitnik, S. V. C. Kbr, Space Biosciences Division, N. R. Center, M. Field, Ca, USA., Department of Preventive Medicine, Center for Individualized Medicine, Baylor College of Medicine, Houston, Tx, B. Science, D. Physiology, Biophysics, Weill Cornell Medicine, New York., Ny, D. Urology, D. Radiology, S. Medicine, Stanford, Bay Area Environmental Research Institute, Mortality ResearchConsulting, Inc., Universities Space Research Association, UC Space Health, Department of Orthopaedic Surgery, U. California, San Francisco, AI CenterforHealth, D. Biochemistry, Molecular Genetics, U. Medicine, Anschutz Medical Campus, Aurora, Co., Hasso Plattner Institute for Digital Health at Mount Sinai, Department of Genetics, Genomic Sciences, I. A. Sinai, Department of Preventive Medicine, C. Health, Utmb, Galveston, Human Health, Performance Directorate, N. J. S. Center, D. Microbiology, Immunology, Department of Otolaryngology, Head, N. Surgery, University of San Francisco, The Gilroy AstroBiology Research Group, The University of Wisconsin, Madison, Wi, Weill Institute for Neurosciences, Department of Neurology, D. Chemistry, U. Florida, Jacksonville, Fl, D. Analytics, G. I. O. Technology, Lima, Perú, Department of Neuroscience, U. Minnesota, Minneapolis, Mn, Department of Materials Science, College of Materials Science, San Diego State University, San José, Biorelate, Manchester, United Kingdom., Center for Individualized Medicine, Department of Orthopaedic Surgery, Department of Mathematical Sciences, Mayo Clinic, Rochester, Faculty of Veterinary Medicine, Oral Health Sciences, M. University, Montreal, Quebec., Canada., Faculty of Veterinary Medicine, Cáncer, I. -. London, London, SymbioSeq Llc, Ashburn, Va, Center for Data Driven Discovery, C. I. O. Technology., Pasadena, Waitt Advanced Biophotonics Center, Chan-Zuckerberg Imaging Scientist Fellow, Salk Institute for Biological Studies, La Jolla, Biological Systems, Engineering Division, Lawrence Berkeley National Lab., Berkeley, Doe Agile BioFoundry, Emeryville, Joint BioEnergy Institute, Human Research Program Cross-cutting Computational Model Project, N. R. Center, Cleveland, Oh, Institute for Computational Science, Engineering, Molecular Biology, M. University, E. Lansing., Mi, Low Exploration Gravity Technology, AI Matrix Consortium, Department of Biomedical Engineering, U. Texas, San Antonio, UT Health Sciences, Office of the Director, Logyx, Computer Science, Statistics, Health Policy, J. University, Baltimore., Md., Ml, Ai, H. Lab, B. Health, Biotechnology, Planetary Protection Group, Jet propulsion Laboratory, Sphes, Medical Faculty, King’s College London, S. Medicine, Department of Medical Biology, Iss National Laboratory, Center for Space, Melbourne, Uab Center for Computational Biology, Data Science, U. Alabama, Birmingham, Al, Center for Emerging, Re-Emerging Pathogens, Biochemistry, Rutgers New Jersey Medical School, Newark, Nj, Department of Biomedical Informatics, H. School, Harvard Data Science, Broad Institute of Mit, Harvard, Harvard University, Boston, Ma.

/ 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.

Journal: ArXiv