# The Fertility Algorithm | Agustín López Santos | TEDxUniversidad Rey Juan Carlos Source: https://www.youtube.com/watch?v=FlD9AAKfhnc Recap page: https://rapidrecap.app/video/FlD9AAKfhnc Generated: 2025-12-05T18:13:38.088+00:00 --- ## Quick Overview Agustín López Santos advocates for integrating Artificial Intelligence (AI) into assisted reproduction to manage the emotional and practical burdens faced by couples dealing with infertility, emphasizing that while AI can provide crucial data and probabilities, the ultimate, deeply human decision to proceed with life-altering choices like pregnancy remains solely with the individuals involved. **Key Points:** - The speaker, Agustín López Santos, shares his personal experience of being diagnosed with infertility at age 25 while studying in New Zealand. - He illustrates the emotional toll with a hypothetical scenario where a woman named Aurora, 38, spent seven years trying to conceive naturally before resorting to assisted reproduction. - The core concept is using AI and algorithms to analyze embryo morphology and provide personalized probability scores for successful pregnancy, even predicting miscarriage risk (which for Aurora's single embryo was 14%). - The presentation argues that AI is a powerful tool that eliminates human risk factors (like subjective assessment) by providing objective data, but it cannot replace the human element of hope and love. - The speaker contrasts the 'vampire' decision (implying irreversible, high-stakes choices like immortality) with the 'mother' decision (creating a new life), noting that while the former is often fictionalized, the latter involves real, irreversible human consequences. - The ultimate conclusion is that while AI can inform the decision, the final, deeply personal choice regarding fertility treatment and continuing the process rests entirely with the couple. - The talk highlights the success story of a child born after an IVF cycle where the AI predicted a low probability of success, reinforcing that data is a tool, not a determinant. ![Screenshot at 00:04: The title slide for the talk, indicating the event is TEDxUniversidad Rey Juan Carlos, the first edition of #MetaHorizon2025, and the title is "El algoritmo de la fertilidad" by Agustín López Santos.](https://ss.rapidrecap.app/screens/FlD9AAKfhnc/00-00-04.png) **Context:** Agustín López Santos delivers this TEDx talk, titled "The Fertility Algorithm," at TEDxUniversidad Rey Juan Carlos, focusing on the intersection of cutting-edge technology, specifically Artificial Intelligence (AI), and the deeply personal and emotionally charged journey of human fertility and assisted reproduction. The speaker draws from personal experience, having been diagnosed with infertility himself, to frame the discussion around how objective data processing can better support couples facing these difficult, high-stakes decisions. ## Detailed Analysis Agustín López Santos begins by sharing his personal history with infertility, diagnosed at 25, which motivated his subsequent work. He uses the case study of 'Aurora,' a 38-year-old woman who spent seven years trying to conceive naturally before turning to assisted reproduction, to illustrate the emotional weight involved in these decisions. He details how technology, specifically AI algorithms, can analyze embryo morphology—showing microscopic images of embryos at various developmental stages (00:50, 02:55, 04:54)—to generate a numeric score predicting the probability of a successful pregnancy. This data-driven approach aims to remove the subjective element of human assessment from the clinical decision-making process, offering couples objective probabilities, such as a 14% chance of success for Aurora's single embryo. However, López Santos cautions against letting the data completely overshadow the human element. He argues that while AI provides powerful tools, it cannot capture the intangible factors of hope and love that drive couples to pursue parenthood. He concludes that the final, irreversible decision—whether to continue the grueling process, mortgage a house, or take a final chance with IVF—must always belong to the individuals, not the algorithm. He shares a success story of a child born despite the AI predicting a low chance, proving that the human factor of perseverance remains paramount. ### Introduction and Personal Context - Agustín López Santos shares his personal diagnosis of sterility at age 25 in New Zealand - He uses the analogy of choosing between immortality (like a vampire) and creating life (motherhood) to frame the severity of fertility decisions. ### The Role of AI in Embryo Selection - AI algorithms analyze embryo morphology and development - They generate a numerical score for each embryo to calculate the probability of a successful pregnancy, removing subjective clinical bias (04:51). ### Case Study - Aurora: Aurora, 38, sought pregnancy for 7 years naturally, then tried assisted reproduction - Her only viable embryo was predicted by the AI to result in a successful pregnancy only 14% of the time. ### The Human vs. The Algorithm - The speaker stresses that while data is powerful, it cannot capture the human factors of hope and love - The ultimate decision to proceed with life-altering steps remains entirely the couple's responsibility. ### Conclusion and Success Story - The AI-informed process led to a successful birth for a girl who, despite the low odds, was carried to term - The speaker emphasizes that the algorithm is a tool to inform, not dictate, the final choice. ![Screenshot at 00:04: The title slide showing the TEDx event details: TEDx Universidad Rey Juan Carlos, #MetaHorizon2025.](https://ss.rapidrecap.app/screens/FlD9AAKfhnc/00-00-04.png) ![Screenshot at 00:15: Speaker Agustín López Santos standing on the red circle on stage at the beginning of his talk.](https://ss.rapidrecap.app/screens/FlD9AAKfhnc/00-00-15.png) ![Screenshot at 00:50: A slide showing the cover of Bram Stoker's 'Dracula' and the poster for 'Interview with the Vampire' used in an analogy.](https://ss.rapidrecap.app/screens/FlD9AAKfhnc/00-00-50.png) ![Screenshot at 02:55: A microscopic image displayed on the screen showing a 7-week embryo, illustrating the biological subject matter.](https://ss.rapidrecap.app/screens/FlD9AAKfhnc/00-02-55.png) ![Screenshot at 06:16: A slide showing a woman named Aurora, 38 years old, who has been seeking pregnancy for 7 years, symbolizing the human element in the fertility struggle.](https://ss.rapidrecap.app/screens/FlD9AAKfhnc/00-06-16.png)