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Model-Informed Medicine Revolutionising Pregnancy Prescriptions
In an era where precision matters most, computational modelling is reshaping how we approach medication during pregnancy. Join us as we explore groundbreaking research revealing how healthcare providers and expectant mothers are embracing mathematical simulations to tackle one of medicine's most complex challenges: safe and effective dosing during pregnancy. Discover why these sophisticated in silico approaches are gaining support in antenatal care, and what this means for the future of maternal-fetal medicine. We'll unpack the science, explore the stakeholder perspectives, and examine how these computational tools could transform pregnancy care from guesswork to precision medicine.
Koldeweij C, Dibbets C, Franklin BD, Scheepers HCJ, de Wildt SN. A User-
Driven Framework for Dose Selection in Pregnancy: Proof of Concept for
Sertraline. Clin Pharmacol Ther. 2024 Sep 9. doi: 10.1002/cpt.3429.
Koldeweij CJM, Dibbets AC, Ceulemans M, de Vries LC, Franklin BD, Scheepers
HCJ, de Wildt SN. Willingness-to-use and preferences for model-informed
antenatal doses: a cross-sectional study among European healthcare practitioners
and pregnant women. Front Pharmacol. 2024 Aug 15;15:1403747. doi:
10.3389/fphar.2024.1403747.
Koldeweij C, Kleuskens M, Litjens C, Franklin BD, Scheepers HCJ, de Wildt SN.
Perceived barriers and facilitators for model-informed dosing in pregnancy: a
qualitative study across healthcare practitioners and pregnant women. BMC Med.
2024 Jun 18;22(1):248. doi: 10.1186/s12916-024-03450-8.
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By UK CEiRSI | InSilicoUKIn an era where precision matters most, computational modelling is reshaping how we approach medication during pregnancy. Join us as we explore groundbreaking research revealing how healthcare providers and expectant mothers are embracing mathematical simulations to tackle one of medicine's most complex challenges: safe and effective dosing during pregnancy. Discover why these sophisticated in silico approaches are gaining support in antenatal care, and what this means for the future of maternal-fetal medicine. We'll unpack the science, explore the stakeholder perspectives, and examine how these computational tools could transform pregnancy care from guesswork to precision medicine.
Koldeweij C, Dibbets C, Franklin BD, Scheepers HCJ, de Wildt SN. A User-
Driven Framework for Dose Selection in Pregnancy: Proof of Concept for
Sertraline. Clin Pharmacol Ther. 2024 Sep 9. doi: 10.1002/cpt.3429.
Koldeweij CJM, Dibbets AC, Ceulemans M, de Vries LC, Franklin BD, Scheepers
HCJ, de Wildt SN. Willingness-to-use and preferences for model-informed
antenatal doses: a cross-sectional study among European healthcare practitioners
and pregnant women. Front Pharmacol. 2024 Aug 15;15:1403747. doi:
10.3389/fphar.2024.1403747.
Koldeweij C, Kleuskens M, Litjens C, Franklin BD, Scheepers HCJ, de Wildt SN.
Perceived barriers and facilitators for model-informed dosing in pregnancy: a
qualitative study across healthcare practitioners and pregnant women. BMC Med.
2024 Jun 18;22(1):248. doi: 10.1186/s12916-024-03450-8.