Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity

These data show that consideration of the biological heterogeneity of breastmilk is important for model development and highlight that increased understanding of the physiological mechanisms underlying distribution within the milk may be essential to continue improving <i>in silico</i> methodologies to support infant and maternal health.

Authors

Institutions

Publication Details

Journal
Frontiers in Pharmacology
Published
2024-11-29
DOI
https://doi.org/10.3389/fphar.2024.1507551
Citations
2
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
0.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity

Maria Malamatari, Essam Ghazaly, Andrew S. Butler, Susan Cole et al.
2 citations
Frontiers in Pharmacology
Global Cancer Incidence and Screening
0.57
article

Evaluation of mathematical models for predicting medicine distribution into breastmilk - considering biological heterogeneity

Maria Malamatari, Essam Ghazaly, Andrew S. Butler, Susan Cole, Sun-Yeon Heo, Marina Stamouli Simoncioni, Sam Moult
article en
2 citations

Abstract

These data show that consideration of the biological heterogeneity of breastmilk is important for model development and highlight that increased understanding of the physiological mechanisms underlying distribution within the milk may be essential to continue improving <i>in silico</i> methodologies to support infant and maternal health.

Frontiers in PharmacologyVol. 15
King's College London (GB)
Bill and Melinda Gates Foundation
Good health and well-being
Openalex Percentile: Top 26%
Global Cancer Incidence and Screening
0.57
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.