CareLit · DOI-Nachweis · Das Gesundheitswesen
Analysis of exhausted T cells, systemically enhanced cytokine levels ex vivo and Machine Learning Facilitated Search for Ageing-Related Biomarkers
DOI 10.1055/s-0042-1753969
Bibliografische Angaben
Nachweis in CareLit
Autor:innenBeyer, C.; Jamaludeen, N.; Vogel, K.; Pierau, M.; Lingel, H.; Meltendorf, S.; Spiliopoulou, M.; Brunner-Weinzierl, M.
ZeitschriftDas Gesundheitswesen
Ausgabe8/09/2022
Jahrgang / SeitenJg. 84 · S. 1 bis 1
Kernaussage aus der Literatur
Abstract-Vorschau
Einleitung The aging of the immune system is an individual process with high variability: Two persons of the same biological age may differ substantially in the response of their immune system towards diseases and further conditions. The goal of ImmunLearning is to identify cytokines that reflect the immune system’s status and to subsequently use these biomarkers to assess a person’s ‘immuno-fitness’ at home or at p…
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Zitierempfehlung
Beyer, C.; Jamaludeen, N.; Vogel, K.; Pierau, M.; Lingel, H.; Meltendorf, S.; Spiliopoulou, M.; Brunner-Weinzierl, M (2022) Analysis of exhausted T cells, systemically enhanced cytokine levels ex vivo and Machine Learning Facilitated Search for Ageing-Related Biomarkers. Das Gesundheitswesen, 84 (8/09), 1 bis 1. https://doi.org/10.1055/s-0042-1753969
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