Millions of couples around the world struggle for a long time to find the happiness of becoming parents. In many cases, the problem occurs in the male partner, where the body makes very little amount of sperm – or none at all. Medically, this condition is classified as ‘severe male infertility’. However, a new technology developed with the help of Artificial Intelligence has now emerged as a ray of hope for such individuals.
Technology makes the process easier
The technique, developed at Columbia University in the United States, has successfully identified sperm even in men who were previously told they would never be able to become fathers. This system uses highly advanced technology and machine-based analysis. Its purpose is to detect hidden sperm that are not visible during normal diagnostic tests.
What is the matter?
According to a report by BBC Urdu, a couple had been trying to conceive for several years. Diagnostic tests revealed that the male partner was suffering from a genetic condition that resulted in a complete lack of sperm cells in his semen. Doctors considered her chances of pregnancy to be very low. However, with the help of this new technology, some rare sperm cells were successfully identified in the sample, making conception possible.
What do experts say?
According to experts, this technology analyzes thousands of images at exceptionally fast speed. While the human eye may fail to detect sperm, the machine-based system is able to identify them. Then, a special robotic process separates these sperm cells, allowing them to be used safely and effectively. Experts involved in the research say that this technology has already shown success in many cases where earlier hope was almost lost. According to preliminary data, sperm were successfully identified in about 30 percent of cases that were previously classified as completely infertile.
More research needed
However, experts also admit that this technology still needs more research on a larger scale. Its long-term consequences and safety profile will need to be fully evaluated. In addition, issues related to privacy and management of sensitive medical information may also play an important role in the future.
