Abstract
Early life is characterized by heightened susceptibility to infections
and is increasingly also recognized as a major determinant of the
development of the immune system and the overall health for the
entire human lifespan.1
Knowledge of the molecular drivers involved in these processes in
newborns is at best fragmentary. Infectious causes of death are most
common at the extremes of age, and our limited knowledge of the
ontogeny is an obstacle for the success of preventative, diagnostic, or
therapeutic interventions.2
In this context, we chose to apply a systems biology method
employing high-dimensional molecular measurements along with
unbiased analytic approaches, to identify and characterize molecular
networks and signatures related to functional changes.
and is increasingly also recognized as a major determinant of the
development of the immune system and the overall health for the
entire human lifespan.1
Knowledge of the molecular drivers involved in these processes in
newborns is at best fragmentary. Infectious causes of death are most
common at the extremes of age, and our limited knowledge of the
ontogeny is an obstacle for the success of preventative, diagnostic, or
therapeutic interventions.2
In this context, we chose to apply a systems biology method
employing high-dimensional molecular measurements along with
unbiased analytic approaches, to identify and characterize molecular
networks and signatures related to functional changes.
| Originalsprog | Engelsk |
|---|---|
| Publikationsdato | 29 jan. 2018 |
| Status | Udgivet - 29 jan. 2018 |
| Begivenhed | 1st Annual Meeting of HST Biomedicine - Comwell Rebild Bakker, Rebildvej 36, Skørping, Danmark Varighed: 29 jan. 2018 → 29 jan. 2018 |
Seminar
| Seminar | 1st Annual Meeting of HST Biomedicine |
|---|---|
| Lokation | Comwell Rebild Bakker, Rebildvej 36 |
| Land/Område | Danmark |
| By | Skørping |
| Periode | 29/01/2018 → 29/01/2018 |