About: Improving vaccine-induced immunity: Can Baseline Predict Outcome?

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Improving vaccine-induced immunity: Can Baseline Predict Outcome?
Creator	Marchant, Arnaud Kollmann, Tobias Dobaño, Carlota Koff, Wayne Moncunill, Gemma Othman, Ben Sadarangani, Manish Tsang, John Vandamme, Pierre
Source	Elsevier; Medline; PMC
abstract	Abstract Immune signatures measured at baseline and immediately prior to vaccination, may predict the immune response to vaccination. Such pre-vaccine assessment might allow not only population-based, but also more personalized vaccination strategies (‘precision vaccination’). If baseline immune signatures are predictive, the underlying mechanism they reflect may also determine vaccination outcome. Thus, baseline signatures might contribute to identifying interventional targets to be modulated prior to vaccination in order to improve vaccination responses. This concept has the potential to transform vaccination strategies and usher in a new approach to improve global health.
has issue date	2020-04-08(xsd:dateTime)
bibo:doi	10.1016/j.it.2020.04.001
bibo:pmid	32340868
has license	els-covid
sha1sum (hex)	f6109de0191c41b913adce7cec65130954e693df
schema:url	https://doi.org/10.1016/j.it.2020.04.001
resource representing a document's title	Improving vaccine-induced immunity: Can Baseline Predict Outcome?
has PubMed Central identifier	PMC7142696
has PubMed identifier	32340868
schema:publication	Trends Immunol
resource representing a document's body	covid:f6109de0191c41b913adce7cec65130954e693df#body_text
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