Calcium signalling in In-Vitro Fertilization: developing a non-invasive diagnostic tool using mathematical modelling and data analysis

Project Code


Research Theme

Population Health Sciences

Full Project Description

Please download the below document for a full project description and to see the full supervisory team.


In-Vitro Fertilization is the primary treatment of infertility, with ~2.5 million cycles performed annually. Success rates are, however, declining partly due to waiting 5 days to select the best embryo to transfer to the woman. A rapid (day 1) indicator of embryo viability, based on experimental data, will be developed through mathematical modelling of the calcium signalling in fertilising eggs and their movements, and shared with IVF clinicians.

Lead Supervisor

Dr Katerina Kaouri

Lead Supervisor Email

University Affiliation