After 19 years and multiple unsuccessful IVF efforts, an AI scans 2.5 million photos to help a couple conceive.
By identifying uncommon sperm cells, AI assisted a couple in becoming pregnant after 19 years. Find out how this innovation was made feasible via Columbia University's STAR system.
They tried everything for 19 years. After two excruciating surgeries, numerous IVF rounds, and innumerable unsuccessful attempts, it was announced that there was no sperm to be found. Then came the unexpected turn of events: a computer discovered what people couldn't.
An artificial intelligence system created by Columbia University researchers can identify even the rarest sperm cells, which are frequently overlooked because they are concealed in what appears to be a barren sample. Sperm Tracking and Recovery (STAR), a breakthrough that has already resulted in the first verified baby, has the potential to completely change the landscape for couples dealing with severe male infertility.
In this instance, the AI found two viable sperm cells—enough to aid the couple in becoming pregnant—after scanning about 2.5 million tiny photos of the man's semen sample over the course of two hours. Dr. Zev Williams, who leads the study and is the director of Columbia University's Fertility Center, stated, "A semen sample can look completely normal, but under the microscope, you might see nothing but a sea of debris."
The article, which appeared in The Lancet, demonstrates how AI is evolving beyond chatbots and automation to offer new opportunities in life.
About 40% of cases of infertility are male, and even highly qualified embryologists may not be able to locate sperm in individuals with azoospermia or cryptozoospermia. Many of these men were previously informed that adoption or donor sperm were their only options.
They tried everything for 19 years. After two excruciating surgeries, numerous IVF rounds, and innumerable unsuccessful attempts, it was announced that there was no sperm to be found. Then came the unexpected turn of events: a computer discovered what people couldn't.
An artificial intelligence system created by Columbia University researchers can identify even the rarest sperm cells, which are frequently overlooked because they are concealed in what appears to be a barren sample. Sperm Tracking and Recovery (STAR), a breakthrough that has already resulted in the first verified baby, has the potential to completely change the landscape for couples dealing with severe male infertility.
In this instance, the AI found two viable sperm cells—enough to aid the couple in becoming pregnant—after scanning about 2.5 million tiny photos of the man's semen sample over the course of two hours. Dr. Zev Williams, who leads the study and is the director of Columbia University's Fertility Center, stated, "A semen sample can look completely normal, but under the microscope, you might see nothing but a sea of debris."
The article, which appeared in The Lancet, demonstrates how AI is evolving beyond chatbots and automation to offer new opportunities in life.
About 40% of cases of infertility are male, and even highly qualified embryologists may not be able to locate sperm in individuals with azoospermia or cryptozoospermia. Many of these men were previously informed that adoption or donor sperm were their only options.
Comments
Post a Comment