A team of researchers led by clinical embryologist Simon Fisher from Care Fertility in the UK has developed a program that uses time-lapse studies and predictive algorithms to determine the viability of individual embryos being used in IVF treatments. The results allow embryologists to classify each embryo as being of low or high risk of being chromosomally abnormal, which is the largest single cause of IVF failure and miscarriage.
According to James Baker at SPLOID, the program works with an algorithm that predicts the success of an embryo based on what it’s doing at specific stages in its development. Along with images captured at 10-minute intervals, these predictions are delivered to embryologists, enabling them to select the most viable embryos to carry through an IVF treatment.
“So far we have seen a 56 percent uplift compared to conventional technology, giving our patients … a 76 percent chance of a live birth rate," says Fisher, adding that the program can be used in any fertility treatment, and is non-invasive.