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Here's How AI Is Helping Make Babies By Revolutionizing IVF

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One in four couples in developing countries is impacted by infertility. About 48.5 million couples experience infertility worldwide. Today, infertility is rapidly becoming an epidemic. In vitro fertilization (IVF) is a technique that helps people facing fertility problems have a baby. Despite IVF's potential, the outcomes are unpredictable. To make matters worse, access to fertility care is abysmal.


AI can now pick the best embryo to implant for IVF - ISRAEL21c

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Louise Brown, the world's first "test tube" baby, was born in 1978 through in vitro fertilization (IVF). In IVF, sperm and egg meet outside the body and the best resulting embryo is implanted into the womb in hopes of a healthy pregnancy. "There have been so many advancements in the bioscience aspects of IVF since then, but it lags behind other healthcare verticals big time as far as data science -- and there is a lot of data that is not being used," Eran Eshed, CEO and cofounder of Fairtility, tells ISRAEL21c. "Today, the process of assisted reproductive technology is based on experience and subjective judgment. The outcomes are not very impressive – it takes an average of three IVF cycles per patient to take a baby home," says Eshed.