Alife Health Receives CE Mark for AI Embryo Selection Tool

Oct 23, 2025
Alife Health has obtained CE Mark certification under the European Medical Device Regulation for its AI-powered embryo selection platform, Embryo Predict, enabling rollout across IVF clinics in the EU.

Alife Health has received CE Mark certification under the European Medical Device Regulation for its AI-based embryo selection software, Embryo Predict, announced in a press release. The approval allows the company to offer the product to fertility clinics across the European Union.

Embryo Predict uses deep learning to analyze embryo images and generate an AI score ranking embryos by their likelihood of resulting in a clinical pregnancy. The platform integrates with existing laboratory infrastructure to standardize embryo grading and reduce variation between embryologists.

With regulatory clearance in place, Alife plans to begin deploying the software to selected IVF centers in Europe. The company said this expansion builds on its U.S. operations, where its clinical decision support platform is already in use through partnerships with leading fertility networks.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Healthcare & Life Sciences AI AI Brief AI Brief (X)
Free newsletter

Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.