Life Whisperer, the fertility arm of AI healthcare company Presagen, has made a significant breakthrough in using artificial intelligence to non-invasively help embryologists rank and select genetically healthy embryos in IVF. Currently, PGT-A genetic testing requires a portion of a healthy embryo to be removed and sent away for testing. The procedure is invasive, costly, and potentially risky. Presagen CEO, Dr Michelle Perugini said: "Some future parents are just not comfortable with the thought of having to biopsy their embryo, which may ultimately become their baby. PGT-A testing is conducted because evidence suggests genetically healthy embryos can increase pregnancy success and reduce miscarriage for IVF patients who are desperate for children."

LOS ANGELES, June 26, 2019 /PRNewswire-PRWeb/ -- An Ovation Fertility abstract about the use of artificial intelligence in IVF, presented at the 35th European Society of Human Reproduction and Embryology (ESHRE) Annual Meeting on June 24, 2019, was pre-selected for consideration for two prestigious awards at the event: The Basic Science Award for Oral Presentation, awarded to the presenting author of the best oral presentation on a basic science topic, and the Fertility Society of Australia Exchange Award, which provides an educational travel grant for the presenting author to present the data of his/her oral presentation at the annual meeting of the Fertility Society of Australia (FSA). Only five presentations at ESHRE 2019 were selected to receive awards and be rewarded with a prize of EURO 2,000, and one additional presentation was selected for the FSA Exchange Award. Special award committees, composed of senior scientists and clinicians, made the selections for each award. Ovation's oral presentation about the use of artificial intelligence in IVF, "Artificial intelligence (AI) technology can predict human embryo viability across multiple laboratories with varying demographics with high accuracy and reproducibility," detailed a study that sought to find out if artificial intelligence (AI) and computer vision can improve embryo viability prediction using static 2D images of Day 5 embryos from multiple laboratories. In most IVF labs, embryologists select which embryos to transfer based on morphological assessment, using high-powered microscopes to examine each embryo and assign it a subjective "grade."