Health
What is the future of IVF? ExRNA test
SAN DIEGO, Calif. (Ivanhoe Newswire) – Infertility affects millions of people around the world.
One in six women will have difficulty giving birth.
Various reasons can cause difficulty conceiving, including age, health, obesity, and environmental factors.
Many couples struggling with infertility turn to IVF or IVF.
More than 86,000 babies born in 2021 were conceived this way.
The process is complex and expensive, and the overall birth rate after IVF is only 20-40% for women under 40. Now, innovative new research could revolutionize IVF treatment.
From sleep time to breastfeeding time and everything in between, it's a dream come true for hundreds of thousands of new moms and dads every year. For some couples, getting to this point can be a long journey.
“Since the first IVF baby was born in 1978, we have made great strides in the science of infertility treatment, especially in IVF. However, there is a common misconception that this will solve everything. “I think so,” said H. Eileen Hsu, M.D., professor of obstetrics, gynecology, and reproductive medicine at the University of California, San Diego School of Medicine.
The main challenge in IVF is identifying which embryos are most likely to result in a successful pregnancy.
“On average, people in the United States go through about two to three cycles of IVF,” Dr. Hsu said.
The embryos are currently undergoing genetic testing, which requires a biopsy, but success cannot be fully predicted.
The new method developed at Predicts works by detecting tiny particles of genetic material called ExRNA that are left behind in the Petri dishes in which embryos are cultured.
The researchers used this data to train a machine learning model to predict embryo appearance that predicted success.
“The RNA patterns are different between embryos that have stopped growing and embryos that continue to grow,” Dr. Hsu said.
And it helps doctors determine which babies are most likely to grow into beautiful babies.
The researchers stress that further research is needed to confirm whether ExRNA-based tests can directly predict IVF success, including live birth.
This test can accurately predict embryo morphology, a known indicator of IVF success, but a direct link to a positive result needs to be established.
If this test is validated, it could streamline the IVF process, making it more efficient and less stressful for patients.
Contributors to this news report include: Marsha Lewis, producer. Roque Correa, editor.
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