Biomonitoring and precision health in deep space supported by artificial intelligence

Scott R.T.; Sanders L.M.; Antonsen E.L.; Hastings J.J.A.; Park S.-M.; Mackintosh G.; Reynolds R.J.; Hoarfrost A.L.; Sawyer A.; Greene C.S.; Glicksberg B.S.; Theriot C.A.; Berrios D.C.; Miller J.; Babdor J.; Barker R.; Baranzini S.E.; Beheshti A.; Chalk S.; Delgado-Aparicio G.M.; Haendel M.; Hamid A.A.; Heller P.; Jamieson D.; Jarvis K.J.; Kalantari J.; Khezeli K.; Komarova S.V.; Komorowski M.; Kothiyal P.; Mahabal A.; Manor U.; Garcia Martin H.; Mason C.E.; Matar M.; Mias G.I.; Myers J.G., Jr; Nelson C.; Oribello J.; Parsons-Wingerter P.; Prabhu R.K.; Qutub A.A.; Rask J.; Saravia-Butler A.; Saria S.; Singh N.K.; Snyder M.; Soboczenski F.; Soman K.; Van Valen D.; Venkateswaran K.; Warren L.; Worthey L.; Yang J.H.; Zitnik M.; Costes S.V. · Nature Machine Intelligence (2023) · DOI: 10.1038/s42256-023-00617-5

Resumen

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.