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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K.","Snyder, M.","Soboczenski, F.","Soman, K.","Van Valen, D.","Venkateswaran, K.","Warren, L.","Worthey, L.","Yang, J. H","Zitnik, M.","Costes, S. 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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":"March","year":"2023","bibtex":"@techreport{Scott2023-zn,\r\n title = \"Biomonitoring and precision health in deep space supported by\r\n artificial intelligence\",\r\n author = \"Scott, Ryan T and Sanders, Lauren M and Antonsen, Erik L and\r\n Hastings, Jaden J A and Park, Seung-Min and Mackintosh, Graham\r\n and Reynolds, Robert J and Hoarfrost, Adrienne L and Sawyer,\r\n Aenor and Greene, Casey S and Glicksberg, Benjamin S and Theriot,\r\n Corey A and Berrios, Daniel C and Miller, Jack and Babdor, Joel\r\n and Barker, Richard and Baranzini, Sergio E and Beheshti, Afshin\r\n and Chalk, Stuart and Delgado-Aparicio, Guillermo M and Haendel,\r\n Melissa and Hamid, Arif A and Heller, Philip and Jamieson, Daniel\r\n and Jarvis, Katelyn J and Kalantari, John and Khezeli, Kia and\r\n Komarova, Svetlana V and Komorowski, Matthieu and Kothiyal,\r\n Prachi and Mahabal, Ashish and Manor, Uri and Garcia Martin,\r\n Hector and Mason, Christopher E and Matar, Mona and Mias, George\r\n I and Myers, Jerry G and Nelson, Charlotte and Oribello, Jonathan\r\n and Parsons-Wingerter, Patricia and Prabhu, R K and Qutub, Amina\r\n Ann and Rask, Jon and Saravia-Butler, Amanda and Saria, Suchi and\r\n Singh, Nitin Kumar and Snyder, Michael and Soboczenski, Frank and\r\n Soman, Karthik and Van Valen, David and Venkateswaran, Kasthuri\r\n and Warren, Liz and Worthey, Liz and Yang, Jason H and Zitnik,\r\n Marinka and Costes, Sylvain V\",\r\n abstract = \"Human exploration of deep space will involve missions of\r\n substantial distance and duration. To effectively mitigate health\r\n hazards, paradigm shifts in astronaut health systems are\r\n necessary to enable Earth-independent healthcare, rather than\r\n Earth-reliant. Here we present a summary of decadal\r\n recommendations from a workshop organized by NASA on artificial\r\n intelligence, machine learning and modelling applications that\r\n offer key solutions toward these space health challenges. The\r\n workshop recommended various biomonitoring approaches, biomarker\r\n science, spacecraft/habitat hardware, intelligent software and\r\n streamlined data management tools in need of development and\r\n integration to enable humanity to thrive in deep space.\r\n Participants recommended that these components culminate in a\r\n maximally automated, autonomous and intelligent Precision Space\r\n Health system, to monitor, aggregate and assess biomedical\r\n statuses.\",\r\n journal = \"Nature Machine Intelligence\",\r\n volume = 5,\r\n number = 3,\r\n pages = \"196--207\",\r\n month = mar,\r\n year = 2023\r\n}\r\n\r\n","author_short":["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. 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