Anencephalic babies are born with a condition that causes them to have their brain damaged and lose the ability to learn and communicate.
A team of researchers at the University of Texas Health Science Center at Houston and the Texas Children’s Hospital in Galveston has developed a way to test the viability of these babies using ultrasound.
Researchers in Texas, Texas Childrens and the University School of Medicine at San Antonio are hoping to find a way that can be used to identify a child with the condition.
The research is part of a project to understand the causes and early development of anencephyzia, a disorder that causes a child’s brain to become paralyzed.
“It’s not uncommon for children with anencephema to have a low birth weight, but we don’t know how long it takes for anencephantas to develop the condition, so we need to be able to use the ultrasound to find out,” said Dr. Michelle St. Vincent de Paul, an assistant professor of pediatrics and head of the Center for Neurosciences at the UT Health Science Centre.
Dr. St. Louis, who works with the Texas research team, said that using ultrasound to help identify children with autism spectrum disorder (ASD) can help children and parents find each other.
For the research, Dr. St Vincent de Paideia and her team developed an algorithm that calculates how many babies are viable for each day that anencephasia affects a child.
The algorithm determines the number of viable babies based on the percentage of an anencepha as measured by the ultrasound.
The team has been using the algorithm for years, and is hoping to see the algorithm used to help develop new tools for diagnosis.
It’s a complex problem that has many variables that need to take into account, including the child’s age, the presence of an underlying disease, and the severity of the condition the child has.
The researchers said that their algorithm does not attempt to estimate the exact number of babies that will be viable for a given day, but they are confident that the algorithm can help predict how many viable babies will be found and will have an effect on how early the child is diagnosed with autism.
“This research is just a stepping stone in developing new tools that will help us identify children and families with aneuploidies, and help the community identify the best and safest way to treat them,” Dr. Robert G. Gaffney, a pediatrician at the Children’s hospital, said.
In a separate study published in the journal Nature, researchers at Childrens used a similar algorithm to identify children who have been diagnosed with an ASD.
They said that the results showed that the method could be used for the diagnosis of a small number of children, and they believe that this is the first step in developing a treatment for ASD.
The research was conducted at the Department of Neuroscience at the Texas Health Sciences Center at the Center of Neurosurgical Research at the College of Family Medicine.
You can learn more about Anencephalypsy at the Autism Speaks website.