Placenta Research3 2_4_2019.R from Gestational growth trajectories derived from a dynamic fetal–placental scaling law
datasetposted on 25.10.2019 by Daniel Baller, Diana M. Thomas, Kevin Cummiskey, Carl Bredlau, Nadav Schwartz, Kelly Orzechowski, Richard C. Miller, Anthony Odibo, Ruchit Shah, Carolyn M. Salafia
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Fetal trajectories characterizing growth rates in utero have relied primarily on goodness of fit rather than mechanistic properties exhibited in utero. Here, we use a validated fetal–placental allometric scaling law and a first principles differential equations model of placental volume growth to generate biologically meaningful fetal–placental growth curves. The growth curves form the foundation for understanding healthy versus at-risk fetal growth and for identifying the timing of key events in utero.