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Fertility 2025 Liverpool
At Tambre, we work daily with the purpose of supporting our patients on their journey to parenthood, ensuring that every step is safe, personalised, and humane. Our commitment to science and innovation drives us to implement the most advanced technologies to improve assisted reproduction treatments and enhance the chances of success.
With this goal in mind, last summer, we introduced CHLOE, an artificial intelligence (AI) system, into our laboratories to optimise embryo selection by accurately analysing the viability of each embryo. This tool allows us to reduce waiting times, increase safety, and improve treatment effectiveness. Tambre was a pioneer in Spain in adopting this technology, reflecting our ongoing dedication to offering the best in reproductive medicine.
Fertility 2025 congress, Liverpool
At the Fertility 2025 congress, held in the United Kingdom from 8–11 January, we presented a scientific study exploring the impact of sperm selection on embryo development. Representing the company at the event were senior embryologist Carolina Andrés, scientific advisor José Antonio Horcajadas, Regional Director of Growth and Partnership Katie Lawless, and CEO Inge Kormelink.
This study highlights how AI can enhance outcomes in fertility treatments. Entitled “Morphokinetic Study of Embryo Development Based on Sperm Selection Method Using CHLOE as an AI Analysis Tool,“ our goal was to evaluate how different sperm selection methods influence embryo development kinetics and implantation scores, using CHLOE as an advanced analysis tool.
CHLOE and its impact on fertility
CHLOE analyses embryos using morphokinetic parameters (examining the embryo’s shape, size, development process, timing, and growth rhythm) and assigns an implantation score (EQ-Score) to predict its potential for achieving pregnancy. This system has enabled Tambre to improve the precision of embryo evaluation.
The retrospective study, conducted between July and August 2024, evaluated over 500 embryos, divided into three groups based on sperm selection criteria: Swim-Up (SU), Sperm-Slow (SS), and Zymot-ICSI (CM). The embryos were cultured in GERI systems and analysed with CHLOE to determine the impact of these methods on embryo development and quality.
The study’s main findings
The study’s main findings highlight key aspects of embryo development based on the sperm selection method used.
Regarding the speed and synchronisation of embryo development, embryos resulting from fertilisation with sperm selected using the Sperm-Slow (SS) method exhibited significantly faster and more synchronised cell division rates compared to those obtained through conventional techniques.
In terms of trophectoderm quality and the EQ-Score, embryos in the Sperm-Slow group demonstrated superior trophectoderm quality and higher EQ-Scores. These scores indicate greater implantation potential and improved embryo kinetics. According to Tambre experts, after analysing the results, “Although all the methods analysed yielded positive results, in the studied cases, Sperm-Slow seems to be the most effective technique for optimising embryo development and implantation potential, establishing itself as an effective tool in fertility treatments,” explains embryologist Carolina Andrés, who leads the study.
A continued commitment to innovation
These results underscore the importance of sperm selection and AI analysis in fertility treatments. At Tambre, we understand that every decision, from sperm selection to embryo evaluation, can make a significant difference for couples seeking to build a family.
By integrating CHLOE, Tambre strengthens its leadership in advanced reproductive medicine, ensuring personalised, safe, and effective treatments. This progress further demonstrates our commitment to excellence and innovation, offering hope to those facing challenges on their path to parenthood.
Morphokinetic study of embryo development based on sperm selection method using CHLOE as an artificial intelligence (AI) analysis tool C. Andrés, L. Serrano, C. Cordero, C. Rodríguez, Á. Almoyna, S. Ruiz, R. García, S. Díez, M. Manzanares, L. Ortega, N. Bergelson, J. A. Horcajadas, S. Cortés
