An Integrative Approach for Model Driven Computation of Treatments in Reproductive Medicine

Ehrig, Rainald; Dierkes, Thomas; Schäfer, Stefan; Röblitz, Susanna; Tronci, Enrico; Mancini, Toni; Salvo, Ivano; Alimguzhin, Vadim; Mari, Federico; Melatti, Igor; Massini, Annalisa; Krüger, Tillmann H.C.; Egli, Marcel; Ille, Fabian; Leeners, Brigitte

doi:10.1142/9789813141919_0005

Cited by 1 publication

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“…Moreover, the model presented here could be used to compare the outcome of different treatment strategies in terms of specific success criteria (e.g. average number of follicles larger than a threshold size at the end of the stimulation), similar to the approach in ( 39 ). This requires to first validate the model with data from other stimulation protocols.…”

Section: Discussionmentioning

confidence: 99%

“…The equations are coupled via a term that accounts for competitive interactions between follicles. Together with the model by (37) a previous version of the model by (38) formed the basis for the development of computational tools to enable in silico clinical trials in reproductive endocrinology (39,40). In particular, by introducing variability into model parameters (41)(42)(43), the authors could analyze inter-individual variability in the cycle and automatically synthesize, by means of artificial intelligence guided by patient digital twins, optimal personalized treatments for the patients at hand (44).…”

Section: Mathematical Modeling Of the Female Menstrual Cyclementioning

confidence: 99%

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Mathematical Modeling and Simulation Provides Evidence for New Strategies of Ovarian Stimulation

et al. 2021

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New approaches to ovarian stimulation protocols, such as luteal start, random start or double stimulation, allow for flexibility in ovarian stimulation at different phases of the menstrual cycle. It has been proposed that the success of these methods is based on the continuous growth of multiple cohorts (“waves”) of follicles throughout the menstrual cycle which leads to the availability of ovarian follicles for ovarian controlled stimulation at several time points. Though several preliminary studies have been published, their scientific evidence has not been considered as being strong enough to integrate these results into routine clinical practice. This work aims at adding further scientific evidence about the efficiency of variable-start protocols and underpinning the theory of follicular waves by using mathematical modeling and numerical simulations. For this purpose, we have modified and coupled two previously published models, one describing the time course of hormones and one describing competitive follicular growth in a normal menstrual cycle. The coupled model is used to test ovarian stimulation protocols in silico. Simulation results show the occurrence of follicles in a wave-like manner during a normal menstrual cycle and qualitatively predict the outcome of ovarian stimulation initiated at different time points of the menstrual cycle.

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Section: Discussionmentioning

confidence: 99%