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., 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, 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 Technical Report 3, March, 2023.
abstract   bibtex   
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.
@techreport{Scott2023-zn,
  title    = "Biomonitoring and precision health in deep space supported by
              artificial intelligence",
  author   = "Scott, Ryan T and Sanders, Lauren M and Antonsen, Erik L and
              Hastings, Jaden J A and Park, Seung-Min and Mackintosh, Graham
              and Reynolds, Robert J and Hoarfrost, Adrienne L and Sawyer,
              Aenor and Greene, Casey S and Glicksberg, Benjamin S and Theriot,
              Corey A and Berrios, Daniel C and Miller, Jack and Babdor, Joel
              and Barker, Richard and Baranzini, Sergio E and Beheshti, Afshin
              and Chalk, Stuart and Delgado-Aparicio, Guillermo M and Haendel,
              Melissa and Hamid, Arif A and Heller, Philip and Jamieson, Daniel
              and Jarvis, Katelyn J and Kalantari, John and Khezeli, Kia and
              Komarova, Svetlana V and Komorowski, Matthieu and Kothiyal,
              Prachi and Mahabal, Ashish and Manor, Uri and Garcia Martin,
              Hector and Mason, Christopher E and Matar, Mona and Mias, George
              I and Myers, Jerry G and Nelson, Charlotte and Oribello, Jonathan
              and Parsons-Wingerter, Patricia and Prabhu, R K and Qutub, Amina
              Ann and Rask, Jon and Saravia-Butler, Amanda and Saria, Suchi and
              Singh, Nitin Kumar and Snyder, Michael and Soboczenski, Frank and
              Soman, Karthik and Van Valen, David and Venkateswaran, Kasthuri
              and Warren, Liz and Worthey, Liz and Yang, Jason H and Zitnik,
              Marinka and Costes, Sylvain V",
  abstract = "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.",
  journal  = "Nature Machine Intelligence",
  volume   =  5,
  number   =  3,
  pages    = "196--207",
  month    =  mar,
  year     =  2023
}

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