Scientists interrogate leftover culture media to noninvasively determine the quality of embryos in the lab, providing a way to better predict in-vitro-fertilization (IVF) success. Researchers at the ...

This illustration visualizes the temporal fluctuations of exRNA as mountains in silhouette and depicts embryos as celestial bodies, encapsulating the intricate interplay between exRNA dynamics and the ...

A new artificial intelligence-based system can accurately assess the chromosomal status of in vitro-fertilized (IVF) embryos using only time-lapse video images of the embryos and maternal age, ...

An artificial intelligence algorithm can determine non-invasively, with about 70 percent accuracy, if an in vitro fertilized embryo has a normal or abnormal number of chromosomes, according to a new ...