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.
| Original language | English |
|---|---|
| Publication date | 29 Jan 2018 |
| Publication status | Published - 29 Jan 2018 |
| Event | 1st Annual Meeting of HST Biomedicine - Comwell Rebild Bakker, Rebildvej 36, Skørping, Denmark Duration: 29 Jan 2018 → 29 Jan 2018 |
Seminar
| Seminar | 1st Annual Meeting of HST Biomedicine |
|---|---|
| Location | Comwell Rebild Bakker, Rebildvej 36 |
| Country/Territory | Denmark |
| City | Skørping |
| Period | 29/01/2018 → 29/01/2018 |