First sperm pregnancy found by artificial intelligence

Director of the Fertility Center of Columbia University, Dr. Zev Williams has told about the process called STAR (Spring Tracking and Regeneration), writes Healthday. com, broadcast Periscope.

Many couples with infertility caused by the male factor are said to have little chance of having a biological child,” said Williams.

However, your “only needs a healthy sperm to create an embryo,” added Williams.

The new process, called STAR (Sperm Tracking and Sperma Regeneration), uses high-powered imaging technology to scan a sperm sample, taking more than 8 million images in less than an hour, researchers said.

He added that artificial intelligence identifies sperm cells in the sample and robotics is used to capture and remove them gently.

This process may replace procedures in which sperm is surgically extracted from the testicles of a man or in which a laboratory technician carefully inspects sperm samples manually to find and catch stable sperm, researchers said.

“Fusha is really challenged to find a better way to identify and extract sperm cells stable in men with extremely low sperm number,” said Williams.

The first couple to use the STAR pregnancy method had already gone through numerous unsuccessful cycles of IVF, as well as some manual sperm research and two sperm surgical extracts, researchers said.

The man gave a sperm sample of 3.5 milliliters, and within two hours the STAR system had identified two sperm cells that were stable from 2.5 million images.

Researchers said greater clinical trials are now under way to assess the effectiveness of the STAR method in more patients. /Periscope/