Personalised day of trigger in assisted conception cycles
IVF is a medical technique that helps individuals or couples facing infertility to conceive a child. The procedure involves giving medication to patients to induce the growth of follicles, which are subsequently monitored to determine the best time for administering a trigger medication – a vital stage for a successful pregnancy. Currently, the growth of these follicles is tracked through ultrasound scans, which can be both time-consuming and expensive. However, creating a precise model of follicle growth could reduce the number of scans needed. During the exhibit we will show a novel technique which is used to model follicle growth. This technique has been incorporated into a user-friendly tool which can be used by the medical practitioners to simulate follicle growth.
Keywords
Machine Learning, In-Vitro Fertility, Personalised Medicine, Longitudinal Health Data, Simulations, Artificial Intelligence
Staff
[Tom Kelsey]{twk} and Artsiom Hramyka