The platform offers a more accurate assessment of the viability of an embryo by applying machine learning and computer vision technologies
Based on its recent analysis of the global market for AI-based embryo selection for in vitro fertilization (IVF), Frost & Sullivan recognizes Australia-headquartered Life Whisperer with the 2019 Global New Product Innovation Award. The solution employs a combination of computer vision and machine learning techniques to identify healthy embryos for implantation, thereby significantly increasing the chances of a successful pregnancy.
“Life Whisperer’s non-invasive embryo selection technique applies key algorithms that recognize essential information to grade the embryo’s quality. Life Whisperer is now turning its attention to non-invasive genetic assessment of embryo images. Early studies indicate the AI can recognize genetic defects like Down syndrome, underlining Life Whisperer’s potential to become a gold standard in embryo pre-screening for viability and aneuploidy assessment,” said Saravanan Thangaraj Industry Analyst. “The platform is offered on the cloud/Web, and does not include any setup or subscription fees for the IVF clinic. Furthermore, due to its low level of risk and non-invasiveness, obtaining regulatory approvals is relatively easy in most countries.”
Life Whisperer recently completed an international clinical study across 12 clinics in 4 countries, including the United States, Australia, New Zealand, and Malaysia. The results demonstrated that the AI platform was 25 percent more accurate than highly trained and experienced embryologists in identifying the most viable embryos from the medical images of almost 1,500 patient cycles. Importantly, the study showed the robust translation of the AI algorithm across multiple clinical environments, demographic locations, and camera configurations, signifying its market readiness and scalability. Life Whisperer is the only hardware-independent AI for embryo assessment that can predict pregnancy outcomes from static 2D embryo images using standard laboratory microscope camera images.
Once clinics upload the standard microscope images of embryos, Life Whisperer uses its proprietary algorithms to analyze the images and distinguish morphological features, which are often undetectable by the human eye. This approach does not require any significant changes to the IVF clinic’s overall process and it reduces the risk of manual tampering of embryos.
“Life Whisperer has been partnering with IVF clinics worldwide to further improve its AI solution to develop new products for identifying genetic defects from embryo images, and enhance the pre-sales activity for its solution,” noted Thangaraj. “Life Whisperer is currently expanding trials with IVF clinics in several countries like the U.S., Europe, and China. Overall, it is expected to play a pioneering role in the adoption of digital technologies in IVF centers worldwide.”
Each year, Frost & Sullivan presents this award to the company that has developed an innovative element in a product by leveraging leading-edge technologies. The award recognizes the value-added features/benefits of the product and the increased return on investment (ROI) it gives customers, which, in turn, raises customer acquisition and overall market penetration potential.
Frost & Sullivan Best Practices awards recognize companies in a variety of regional and global markets for demonstrating outstanding achievement and superior performance in areas such as leadership, technological innovation, customer service, and strategic product development. Industry analysts compare market participants and measure performance through in-depth interviews, analysis, and extensive secondary research to identify best practices in the industry.
About Life Whisperer
Life Whisperer uses artificial intelligence (AI) to better identify healthy embryos in IVF, and to ultimately improve outcomes for couples struggling with fertility. Life Whisperer is a product of Presagen which is an AI platform that connects global clinics to build globally scalable AI medical products.
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