29 Oct PGT-A & Artificial Intelligence Improves Pregnancy Outcomes For Patients Undergoing IVF
Michael Large, PhD
Senior Director, Research at CooperGenomics
MedicalResearch.com: What is the background for this study? What are the main findings?
Dr. Large: Independent study results, presented at the recent the American Society of Reproductive Medicine (ASRM) Virtual Scientific Congress, demonstrated a 13 percent relative increase in ongoing pregnancy and live birth rates associated with the use of CooperSurgical’s PGTaiSM 2.0 technology to screen embryos for in vitro fertilization (IVF). The single-center study was conducted by NYU Langone Fertility Center (NYULFC), part of The Prelude Network.
Preimplantation Genetic Testing for aneuploidy (PGT-A) is performed on embryos produced through IVF; it provides genetic information to help identify embryos that are more likely to result in a successful pregnancy. PGTai 2.0 technology is an advancement in PGT-A testing platform that utilizes artificial intelligence to increase objectivity of this screening process.
The study compared results from three next generation sequencing (NGS) genetic tests: Standard NGS, NGS with first generation artificial intelligence (PGTai 1.0 Technology Platform) and NGS with second generation artificial intelligence (PGTai 2.0 Technology Platform). The ongoing pregnancy and live birth rates significantly increased by a relative 13 percent in the PGTai 2.0 group as compared to subjective and prior methodologies.
Study results also suggest that the increase in ongoing pregnancy and live births may be linked to improvements in several preceding IVF outcomes (implantation rates, clinical pregnancy rates and pregnancy loss.)
MedicalResearch.com: What should readers take away from your report?
Dr. Large: This research moves us an important step closer to our goal of increased live births, improved pregnancy outcomes and further reduction of multiples in pregnancy through greater confidence in single embryo transfer.
An estimated 48.5 million couples – approximately 15% of couples — are affected by infertility worldwide. 80,000 babies were born with IVF in 2017 in the United States and more than one million babies were born in the period 1987 to 2015 in the United States as a result of IVF.
MedicalResearch.com: What recommendations do you have for future research this study?
Dr. Large: The goal of PGT-A is to decrease risk and maximize the chances of IFV success by screening for embryos with the highest potential. This was precisely what NYULFC have observed so far with PGTai 2.0 compared to older technologies. To fully appreciate the impact that these improvements are having for patients, we’re excited to hear from additional IVF centers across the world as they utilize this technology.
MedicalResearch.com: Is there anything else you would like to add? Any disclosures?
Dr. Large: The study demonstrates CooperSurgical’s commitment to developing the most advanced technology in the field of genetic testing to advance reproductive medicine and help families. By applying artificial intelligence in the PGTaism2.0 technology, we leverage mathematical algorithms derived from real-world data to achieve objective embryo assessment.
Disclosures: I am the Senior Director of Genomics Research and Development at CooperSurgical.
Michael Large, PhD, is the Senior Director, Genomics Research and Development at CooperSurgical. His team recently led and continues to develop state-of-the-art analytical methods for interrogating Reproductive Genetics. Dr. Large earned his PhD in Cell and Molecular Biology from the Baylor College of Medicine and his Bachelor of Science in Cell and Molecular Biology from the University of Wisconsin – La Crosse.
 Buldo-Licciardi J, Large M, McCulloh D, McCaffrey C, Grifo J. Second generation artificial intelligence technology for preimplantation genetic testing (PRT) improves pregnancy outcomes in single thawed euploid embryo transfer cycles (STEET). Presented at American Society for Reproductive Medicine on October 19, 2020. Available at: https://asrm.confex.com/asrm/2020/meetingapp.cgi/Paper/8645. Accessed October 13, 2020.
 Agarwal A, Mulgund A, Hamada A, Chyatte MR. A unique view on male infertility around the globe. Reprod Biol Endocrinol. 2015;13:37. Published 2015 Apr 26. doi:10.1186/s12958-015-0032-1. Accessed October 13, 2020.
 Centers for Disease Control and Prevention, American Society for Reproductive Medicine, Society for Assisted Reproductive Technology. 2015 Assisted Reproductive Technology National Summary Report. Available at: https://www.cdc.gov/art/pdf/2015-report/ART-2015-National-Summary-Report.pdf. Accessed October 13, 2020.
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