Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Project deliverable . 2024
License: CC BY
Data sources: Datacite
ZENODO
Project deliverable . 2024
License: CC BY
Data sources: Datacite
versions View all 2 versions
addClaim

EMA Qualification Advice: Making the best use of the new nonclinical and in silico predictive tools generated in this WP3 to inform risk assessment on medication use during lactation (D3.11)

Authors: Macente, Julia; Nauwelaerts, Nina; Van Neste, Martje; Huang, Miao-Chan; allegaert, karel; Smits, Anne; Huys, Isabelle; +7 Authors

EMA Qualification Advice: Making the best use of the new nonclinical and in silico predictive tools generated in this WP3 to inform risk assessment on medication use during lactation (D3.11)

Abstract

This deliverable summarizes the key aspects to consider when utilizing the non-clinical and in silico predictive tools developed in Work Package 3 (WP3) of the IMI ConcePTION project. WP3 focused on establishing a platform to predict drug transfer into human milk and consequent infant exposure, utilizing in vitro, in vivo, and in silico methodologies. The deliverable builds on insights from previous work (summarised in D3.10 and other deliverables), and addresses feedback from the European Medicines Agency (EMA), offering recommendations for integrating these tools into regulatory frameworks and clinical practice. While further refinement and ultimately formal validation of the development tools is required, these methodologies carry the promise to thoroughly address uncertainties regarding maternal medication safety for infants when mothers are breastfeeding. This document aims to guide stakeholders in leveraging the tools for improved medication safety assessments during lactation.

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!