Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Shinde, Gunjan; Anand, Garima; Singhal, Prateek Title A name given to the resource Advancements in Astronaut Health Monitoring Technologies Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems;Volume;1684 LNNS;pp.98-111 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-032-08246-6_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-032-08246-6_9</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105028352853?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105028352853?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Shinde G., Department of Computer Science, School of Sciences, Christ (Deemed to be University), Ghaziabad, Delhi-NCR, India; Anand G., Department of Computer Science, School of Sciences, Christ (Deemed to be University), Ghaziabad, Delhi-NCR, India; Singhal P., Department of Computer Science, School of Sciences, Christ (Deemed to be University), Ghaziabad, Delhi-NCR, India Description An account of the resource Astronautics also outlines unique biological and cognitive obstacles that demand advancements in health monitoring and techniques for risk prevention for space travellers. This study investigates the consequences of microgravity, space radiation and persistent confinement on astronaut well-being, focusing on cardiovascular, musculoskeletal, neurological and immune system vulnerability. Cardiovascular ailment, a major concern, is monitored using clinical prediction models (CPMs) that combine traditional risk factors, biomarkers and machine learning techniques. Additionally, AI-powered methods consisting of GPT-based models and time series transformers are required for real-time health monitoring and analytical assessment. Test-based outcomes illustrate that models such as logistic regression, random forest and support vector machines attain high designation accuracy in defining astronauts health hazards from non-astronaut data. Furthermore, wearable medical trackers and space-sourced clinical techniques are detected as an alternative solution for both space missions and terrestrial well-being. The study also highlights the need for perpetual advancements in zero gravity to protect astronauts well-being and enhance medicinal solutions for upcoming space travels. The Author(s), under exclusive license to Springer Nature Switzerland AG 2026. Subject The topic of the resource Biomarker Analysis; Cardiovascular performance; Cosmic radiation; Microgravity; Radiation Exposure Simulation Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 23673370; ISBN: 978-303208245-9; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online