WEBINAR: Donor Oocyte Optimization: Smart AI Allocation Improves Lot Consistency & Resource Management
In this webinar, the Future Fertility team and guest speakers Marcos Meseguer, Natalia Basile, and Mariano Lavolpe discuss how AI-based oocyte assessment can support data-driven donor oocyte distribution.
This session explores how AI-based blastocyst predictions can be incorporated into donor egg programs using Future Fertility’s ROSE™ tool to help optimize lot allocation, support quality assurance practices, and reduce variability across distributed cohorts.
Purpose-built for donor egg programs and co-developed alongside embryologists working in donor oocyte laboratories, ROSE™ was designed to support the operational and clinical challenges unique to donor egg distribution.
Agenda:
• Current challenges in donor oocyte allocation & the potential for AI – Jullin Fjeldstad
• Scientific validation of ROSE™ AI-based oocyte assessment in donor populations – Dr. Marcos Meseguer
• Co-design approach to tool development & resulting versatility – Anabella Marconetto
• Importance of co-design partnerships & egg bank considerations in ROSE™ development – Dr. Natalia Basile
• ROSE™ demonstration – Anabella Marconetto
• Practical example: Utilization of ROSE™ in an internal clinic donor egg program – Lic. Mariano Lavolpe
Whether you manage an egg bank, oversee a donor egg program, or work within a receiving clinic, this session will provide practical insight into how AI-based oocyte assessment can be applied across a range of donor program models to support more consistent donor oocyte distribution, strengthen quality assurance practices, and improve transparency around expected cohort performance.
This webinar was hosted via the International IVF Initiative on May 28, 2026.
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