ALEXANDRIA, Va., April 15 -- United States Patent no. 12,602,785, issued on April 14, was assigned to EmGenisys Inc. (Driftwood, Texas).

"Training a machine learning model to assess embryo characteristics from video image data" was invented by Cara Wells (Dripping Springs, Texas) and Russell Killingsworth (Shamrock, Texas).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method for training a computer-based machine learning model to assess a characteristics-of-interest in embryos such as viability, sex or genetic superiority/inferiority by processing video of each of a plurality of embryos and wherein a subset of the embryos each embodies the characteristic-of-interest. The method includes obtaining (taking o...