After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...
The period between conception and childbirth is known as gestational time. The condition of the baby can be affected by processes involved in pregnancy and delivery. History of diabetes and obesity ...
Scanning for serious structural issues in fetuses during the first trimester can result in earlier detection of these issues, reports a new study led by Aris Papageorghiou at the University of Oxford, ...
Two years after a panel flew off a 737 Max, Boeing is doing more inspections, completing work in its intended order and making other changes. Can the company keep it up? The number of 737 Max planes ...
Abstract: In this article, based on S-parameter testing, a defect detection flow using a hierarchical-level neural network, can successfully achieve the classification and location of five common ...
In the early embryo, a flat sheet of neural cells must roll up into a neural tube that will later form the brain and spinal cord. Understanding this process, which is known as neurulation, is ...
Two-thirds of women in their child-bearing years have an increased risk for birth defects due to a lifestyle factor they can change, a new study says. These risk factors -- low levels of vitamin B9 ...
Analysis of U.S. survey data showed that two-thirds of reproductive age women had one or more modifiable risk factors for birth defects. Common risk factors included obesity, folate concentrations ...
One in 33 babies in the United States are born with birth defects. But a new study from the Centers for Disease Control and Prevention is raising awareness of ways to lower that risk. The study points ...
Spina bifida is a serious congenital condition caused by abnormal neural tube development during early pregnancy. While folic acid supplementation has dramatically reduced its incidence, cases persist ...
A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
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