Analysis of exhausted T cells, systemically enhanced cytokine levels ex vivo and Machine Learning Facilitated Search for Ageing-Related Biomarkers
Beyer, C.; Jamaludeen, N.; Vogel, K.; Pierau, M.; Lingel, H.; Meltendorf, S.; Spiliopoulou, M.; Brunner-Weinzierl, M. · Das Gesundheitswesen · 2022 · Heft 8/09 · S. 1 bis 1
Bibliografische Angaben
Zusammenfassung
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 points-of-care. These could be used, for example, for personalized treatment scheduling without the need for elaborate clinical tests. Methoden To serve our objective of promoting the measurement of bi…
