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In vitro fertilization (IVF) has revolutionized assisted reproductive techniques, bringing hope to thousands of people seeking to fulfill their dream of parenthood. However, patients with low ovarian reserve face additional challenges, such as limited response to ovarian stimulation and difficulty in obtaining good-quality eggs. Innovative protocols such as Duostim (dual stimulation) have shown promise in these cases, allowing the maximum number of eggs to be retrieved in a short period of time. In addition, technological advances in the analysis of the quality of mature eggs, such as the use of the Magenta tool, are transforming the way specialists evaluate and select the best gametes to increase the chances of success. This article explores how these approaches complement each other, offering new possibilities for patients with low ovarian reserve and raising the standards of reproductive medicine.
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The analysis of the two stimulation phases in a Duostim protocol for IVF using the Magenta tool may have significant clinical relevance, especially in the context of patients with low ovarian reserve or who require optimization in the number of embryos available in IVF cycles in a short period of time. The Magenta tool, being based on AI and machine learning, can identify patterns related to the quality of oocytes and embryos obtained in both phases. This can help determine if there are significant differences in embryo competence between oocytes collected in the follicular phase and the luteal phase. Magenta-powered analysis can provide robust data to validate the Duostim protocol, identify subgroups that benefit most from it, and promote greater clinical efficiency in IVF treatments, especially in challenging cases. This approach can revolutionize the way personalized protocols are designed and monitored to maximize reproductive success. The aim of this study is to compare the two phases of ovarian stimulation - follicular and luteal - in patients undergoing the Duostim protocol, using the Magenta tool for detailed analysis of mature eggs obtained in each phase. The research seeks to identify differences in oocyte quality between the two stages, as well as to evaluate the efficiency of the protocol in maximizing results in patients with low ovarian reserve.
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92 participants in 2 patient groups
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Data sourced from clinicaltrials.gov
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