Tag

Embryo Selection

All articles tagged with #embryo selection

Consumer genetics: hype meets limits and calls for guardrails in embryo screening
health5 days ago

Consumer genetics: hype meets limits and calls for guardrails in embryo screening

Live Science’s interview with bioethicist Daphne Martschenko and sociologist Sam Trejo highlights that consumer genetic tests and polygenic embryo screening are advancing, but their predictive power is limited and often ancestry-biased. The pair debunks the 'destiny' myth, notes transparency and data-quality gaps, and cautions that embryo selection for non-medical traits could widen social inequities. They advocate for regulation and clearer communication of limitations to help the public make informed choices.”,

Ethics of embryo selection: balancing CF risk, parental love, and eugenics concerns
ethics13 days ago

Ethics of embryo selection: balancing CF risk, parental love, and eugenics concerns

The Ethicist argues that using IVF with preimplantation genetic testing to avoid CF‑risk embryos can be ethically permissible, since selecting embryos is about health states rather than devaluing existing people. While the term “eugenics” is loaded, the key is whether such selection expresses contempt for those with the condition. Personal motives (like wanting a daughter) should be weighed carefully, and the analysis acknowledges the limits of genetic testing and the importance of valuing the current child while considering future risks.

"Revolutionizing IVF: AI Technology Maximizes Pregnancy Success Rates"
health2 years ago

"Revolutionizing IVF: AI Technology Maximizes Pregnancy Success Rates"

Artificial intelligence (AI) is being used to help fertility doctors select the best embryos for in-vitro fertilization (IVF). A Tel Aviv-based reproductive technology company, AIVF, has developed an AI-powered embryo evaluation software called EMA. The software processes vast amounts of data to simplify the embryo selection process, providing clinicians with a numeric score for each embryo. The AI model has been trained to detect embryonic features that correlate to different outcomes, such as genetic abnormalities and implantation potential. The technology aims to improve IVF success rates and reduce the number of treatment sessions required. While AI is a valuable tool, it is not intended to replace doctors, but rather to assist them in making more informed decisions. AIVF's technology is currently in use in several regions and has reportedly led to a 30% increase in IVF success rates.