Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

• URL: http://arxiv.org/abs/2112.12582v1
• Date: Wed, 22 Dec 2021 05:18:26 GMT
• Title: Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs
• Authors: Lauren M. Sanders (1), Jason H. Yang (2), Ryan T. Scott (3), Amina Ann Qutub (4), Hector Garcia Martin (5 and 6 and 7), Daniel C. Berrios (3), Jaden J.A. Hastings (8), Jon Rask (9), Graham Mackintosh (10), Adrienne L. Hoarfrost (11), Stuart Chalk (12), John Kalantari (13), Kia Khezeli (13), Erik L. Antonsen (14), Joel Babdor (15), Richard Barker (16), Sergio E. Baranzini (17), Afshin Beheshti (3), Guillermo M. Delgado-Aparicio (18), Benjamin S. Glicksberg (19), Casey S. Greene (20), Melissa Haendel (21), Arif A. Hamid (22), Philip Heller (23), Daniel Jamieson (24), Katelyn J. Jarvis (25), Svetlana V. Komarova (26), Matthieu Komorowski (27), Prachi Kothiyal (28), Ashish Mahabal (29), Uri Manor (30), Christopher E. Mason (8), Mona Matar (31), George I. Mias (32), Jack Miller (3), Jerry G. Myers Jr. (31), Charlotte Nelson (17), Jonathan Oribello (1), Seung-min Park (33), Patricia Parsons-Wingerter (34), R. K. Prabhu (35), Robert J. Reynolds (36), Amanda Saravia-Butler (37), Suchi Saria (38 and 39), Aenor Sawyer (24), Nitin Kumar Singh (40), Frank Soboczenski (41), Michael Snyder (42), Karthik Soman (17), Corey A. Theriot (43 and 44), David Van Valen (45), Kasthuri Venkateswaran (40), Liz Warren (46), Liz Worthey (47), Marinka Zitnik (48), Sylvain V. Costes (49) ((1) Blue Marble Space Institute of Science, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (2) Center for Emerging and Re-Emerging Pathogens, Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Newark, NJ, USA., (3) KBR, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (4) AI MATRIX Consortium, Department of Biomedical Engineering, University of Texas, San Antonio and UT Health Sciences, San Antonio, TX, USA., (5) Biological Systems and Engineering Division, Lawrence Berkeley National Lab, Berkeley, CA, USA., (6) DOE Agile BioFoundry, Emeryville, CA, USA., (7) Joint BioEnergy Institute, Emeryville, CA, USA., (8) Department of Physiology and Biophysics, Weill Cornell Medicine, New York, NY, USA., (9) Office of the Center Director, NASA Ames Research Center, Moffett Field, CA, USA., (10) Bay Area Environmental Research Institute, NASA Ames Research Center, Moffett Field, CA, USA., (11) Universities Space Research Association (USRA), Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (12) Department of Chemistry, University of North Florida, Jacksonville, FL, USA., (13) Center for Individualized Medicine, Department of Surgery, Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA., (14) Department of Emergency Medicine, Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA., (15) Department of Microbiology and Immunology, Department of Otolaryngology, Head and Neck Surgery, University of California San Francisco, San Francisco, CA, USA., (16) The Gilroy AstroBiology Research Group, The University of Wisconsin - Madison, Madison, WI, USA., (17) Weill Institute for Neurosciences, Department of Neurology, University of California San Francisco, San Francisco, CA, USA., (18) Data Science Analytics, Georgia Institute of Technology, Lima, Peru, (19) 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., (20) Center for Health AI, Department of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA., (21) Center for Health AI, University of Colorado School of Medicine, Anschutz Medical Campus, Aurora, CO, USA., (22) Department of Neuroscience, University of Minnesota, Minneapolis, MN, USA., (23) Department of Computer Science, College of Science, San Jos\'e State University, San Jose, CA, USA., (24) Biorelate, Manchester, United Kingdom., (25) UC Space Health, Department of Orthopaedic Surgery, University of California, San Francisco, San Francisco, CA, USA., (26) Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Quebec, Canada., (27) Faculty of Medicine, Dept of Surgery and Cancer, Imperial College London, London, United Kingdom., (28) SymbioSeq LLC, NASA Johnson Space Center, Ashburn, VA, USA., (29) Center for Data Driven Discovery, California Institute of Technology, Pasadena, CA, USA., (30) Waitt Advanced Biophotonics Center, Chan-Zuckerberg Imaging Scientist Fellow, Salk Institute for Biological Studies, La Jolla, CA, USA., (31) Human Research Program Cross Cutting Computational Modeling Project, NASA John H. Glenn Research Center, Cleveland, OH, USA., (32) Institute for Quantitative Health Science and Engineering, Department of Biochemistry and Molecular Biology, Michigan State University, East Lansing, MI, USA., (33) Department of Urology, Department of Radiology, Stanford University School of Medicine, Stanford, CA, 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) Mortality Research & Consulting, Inc., Houston, TX, USA., (37) Logyx, Space Biosciences Division, NASA Ames Research Center, Moffett Field, CA, USA., (38) Computer Science, Statistics, and Health Policy, Johns Hopkins University, Baltimore, MD, USA., (39) ML, AI and Healthcare Lab, Bayesian Health, New York, NY, USA., (40) Biotechnology and Planetary Protection Group, Jet Propulsion Laboratory, Pasadena, CA, USA., (41) SPHES, Medical Faculty, King's College London, London, United Kingdom., (42) Department of Genetics, Stanford School of Medicine, Stanford, CA USA., (43) Department of Preventive Medicine and Community Health, UTMB, Galveston, TX USA., (44) Human Health and Performance Directorate, NASA Johnson Space Center, Houston, TX, USA., (45) Department of Biology, California Institute of Technology, Pasadena, CA, USA., (46) ISS National Laboratory, Center for the Advancement of Science in Space, Melbourne, FL, USA., (47) UAB Center for Computational Biology and Data Science, University of Alabama, Birmingham, Birmingham, AL, 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: Space biology research aims to understand fundamental effects of spaceflight on organisms. Bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life.
• Score: 0.8855198354664937
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Space biology research aims to understand fundamental effects of spaceflight on organisms, develop foundational knowledge to support deep space exploration, and ultimately bioengineer spacecraft and habitats to stabilize the ecosystem of plants, crops, microbes, animals, and humans for sustained multi-planetary life. To advance these aims, the field leverages experiments, platforms, data, and model organisms from both spaceborne and ground-analog studies. As research is extended beyond low Earth orbit, experiments and platforms must be maximally autonomous, light, agile, and intelligent to expedite knowledge discovery. Here we present a summary of recommendations from a workshop organized by the National Aeronautics and Space Administration on artificial intelligence, machine learning, and modeling applications which offer key solutions toward these space biology challenges. In the next decade, the synthesis of artificial intelligence into the field of space biology will deepen the biological understanding of spaceflight effects, facilitate predictive modeling and analytics, support maximally autonomous and reproducible experiments, and efficiently manage spaceborne data and metadata, all with the goal to enable life to thrive in deep space.

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