Literature DB >> 32915747

Uterus Modeling From Cell to Organ Level: Towards Better Understanding of Physiological Basis of Uterine Activity.

Yuhang Xu, Haipeng Liu, Dongmei Hao, Michael Taggart, Dingchang Zheng.   

Abstract

The relatively limited understanding of the physiology of uterine activation prevents us from achieving optimal clinical outcomes for managing serious pregnancy disorders such as preterm birth or uterine dystocia. There is increasing awareness that multi-scale computational modeling of the uterus is a promising approach for providing a qualitative and quantitative description of uterine physiology. The overarching objective of such approach is to coalesce previously fragmentary information into a predictive and testable model of uterine activity that, in turn, informs the development of new diagnostic and therapeutic approaches to these pressing clinical problems. This article assesses current progress towards this goal. We summarize the electrophysiological basis of uterine activation as presently understood and review recent research approaches to uterine modeling at different scales from single cell to tissue, whole organ and organism with particular focus on transformative data in the last decade. We describe the positives and limitations of these approaches, thereby identifying key gaps in our knowledge on which to focus, in parallel, future computational and biological research efforts.

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Year:  2022        PMID: 32915747     DOI: 10.1109/RBME.2020.3023535

Source DB:  PubMed          Journal:  IEEE Rev Biomed Eng        ISSN: 1937-3333


  1 in total

1.  A Novel, Cardiac-Derived Algorithm for Uterine Activity Monitoring in a Wearable Remote Device.

Authors:  Muhammad Mhajna; Boaz Sadeh; Simcha Yagel; Christof Sohn; Nadav Schwartz; Steven Warsof; Yael Zahar; Amit Reches
Journal:  Front Bioeng Biotechnol       Date:  2022-07-19
  1 in total

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