Integrating embryo video imaging and profiling to enhance IVF success
Research type
Research Study
Full title
Integrating image-based machine learning and in-line biochemical analysis for enhancing successful IVF outcomes.
IRAS ID
212605
Contact name
Robert Steven Conlan
Contact email
Sponsor organisation
Swansea University
Duration of Study in the UK
5 years, 0 months, 1 days
Research summary
This research will help in developing an algorithm which will help in selecting the best embryo suitable for uterine transfer This is a very critical step in IVF/ICSI treatment cycles, not only to maximize pregnancy chances, but also to avoid multiple embryo transfer which in man cases may result in a multiple pregnancy which is deemed as a high risk pregnancy .We will be assessing the embryo quality using time lapse imaging technology .This could provide a major step forward in objective assessment of human embryos and will also help in eliminating any bias resulting from inter observer variation in assessment of embryos using the current conventional technique. Other factors affecting the success of IVF/ICSI treatment cycles will be assessed alongside including ovarian reserve of the patient through assessment of blood levels of AMH,FSH & LH . Also the levels of Hcg & exosomes will be assessed in the embryo culture media .
This will be done for couples / single women attending Wales fertility institute for fertility treatment.REC name
Wales REC 6
REC reference
16/WA/0367
Date of REC Opinion
28 Feb 2017
REC opinion
Further Information Favourable Opinion