Biomonitoring and precision health in deep space supported by artificial intelligence
Nature Machine Intelligence
Human exploration of deep space will involve missions of substantial distance and duration. To effectively mitigate health hazards, paradigm shifts in astronaut health systems are necessary to enable Earth-independent healthcare, rather than Earth-reliant. Here we present a summary of decadal recommendations from a workshop organized by NASA on artificial intelligence, machine learning and modelling applications that offer key solutions toward these space health challenges. The workshop recommended various biomonitoring approaches, biomarker science, spacecraft/habitat hardware, intelligent software and streamlined data management tools in need of development and integration to enable humanity to thrive in deep space. Participants recommended that these components culminate in a maximally automated, autonomous and intelligent Precision Space Health system, to monitor, aggregate and assess biomedical statuses.
National Science Foundation
Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; Jaden J.A. Hastings; Seung min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; Daniel C. Berrios; Jack Miller; Joel Babdor; Richard Barker; Sergio E. Baranzini; Philip Heller; and For full author list, see comments below. "Biomonitoring and precision health in deep space supported by artificial intelligence" Nature Machine Intelligence (2023): 196-207. https://doi.org/10.1038/s42256-023-00617-5