Digital frukost: From mechanistic modelling to clinical decision support - Examples from reproductive endocrinology

How can systems biology help to understand and predict the human menstrual cycle? And can this aid the process of assisted reproduction? 

Deformed cycle shape of small particles on blue background

Registration is now closed. 

The event will be streamed, but this time we also welcome you to join a physical breakfast during the presentation at CBU, UiB. We kindly ask that you indicate your attendance in the registration form, and let us know if you are unable to make it so that we can just the serving accordingly. 

Deadline for registration: 24 November (25 November for joining digitally).

 

The human menstrual cycle is characterized by an exactly timed interplay of hormonal changes, directed to the production of oocytes, and to the preparation of the uterus for pregnancy. Common medications aim at either disrupting the cycle or stimulating it. For example, controlled ovarian hyperstimulation and ovulation induction are techniques used in assisted reproduction to treat anovulation and/or to produce multiple ovarian follicles. Treatment planning and outcome prediction, however, are challenging due to a large inter- and intra-individual variability in the cycle. We have addressed this problem by using a systems biology approach that integrates clinical data from fertility treatments with mathematical modeling of the complex biological system. Our model gives insights into the underlying dynamics and allows for the design, evaluation and optimization of treatment protocols used in assisted reproduction. I will also present some ideas and preliminary results on how a mechanistic model of the hypothalamic-pituitary-gonadal axis can assist in predicting the onset of puberty and menstruation in girls.  

The speaker, Professor Susanna Röblitz, leads a research group called Computational Systems Biology at the Computational Biology Unit (CBU) at the University of Bergen. The group’s research focuses on the construction, simulation, analysis and optimization of dynamic, mathematical models for biological and biochemical processes on different levels of organization. Susanna is also a member of the Expert Task Force of the Centre for Digital Life Norway.

About the seminar series

"Digital Frukost" is an open breakfast seminar series focusing on research activities at the interface between the biological sciences and that of mathematics, computer science, physics, engineering or social sciences. Examples of such research activities could be mathematical or computational modeling of biological systems, application of engineering/control systems theory on biological systems or inspired by biological systems, application of mathematics/statistics/machine learning to analyse big data in health or marine sector; from sensor systems, imaging, omics technologies, to policy making based on scientific models, and highlighting fair sharing and distribution of research data and resources. 

We look forward to your participation!

 

Contact

Marta Eide, marta.eide@uib.no

Published Oct. 26, 2021 8:46 PM - Last modified Nov. 25, 2021 8:20 PM