An analysis of electronic health records for 1.7 million Wisconsin patients revealed a variety of health problems newly associated with fragile X syndrome.
Machine Learning
New Researcher Uses Machine Learning to Decode Genomic Information
Recent advances in genome sciences — the study of an organism’s complete set of DNA — present a golden opportunity to identify the genetic causes and underlying mechanisms of intellectual and developmental disabilities. These discoveries …
Andrew Alexander, PhD – Slide of the Week
The segmentation of small brain structures like the amygdala is quite challenging in the presence of distorted and abnormal anatomy from major brain injuries.
Electronic records pin broad set of health risks on genetic premutation
It was long believed the FMR1 premutation — an excessive number of trinucleotide repeats in the FMR1 gene — had no direct effect on the people who carry it. Until recently, the only recognized effect on the carriers of the flawed gene was the risk of having offspring with fragile X syndrome, a rare but serious form of developmental disability.
Lauren Bishop-Fitzpatrick, PhD – Slide of the Week
As a large wave of individuals with autism spectrum disorder (ASD) diagnosed in the 1990s enters adulthood and middle age, knowledge about the patterning of lifetime health problems will become increasingly important for prevention efforts. We retrospectively analyzed diagnostic codes associated with de-identified electronic health records using a machine learning algorithm to characterize diagnostic patterns in decedents with ASD and matched decedent community controls.
Using artificial intelligence for a big impact on neurodevelopmental research
By Meghan Chua Arezoo Movaghar earned her master’s degree in computer science and artificial intelligence. She built models based on the plentiful data found in medical records. So, when she came to UW–Madison as a …
Scientists just beginning to understand the unique health needs of adults with autism
In the 1990s, the prevalence of autism spectrum disorder (ASD) among children rose sharply. These children are now entering adulthood, yet physicians and scientists know very little about the health outcomes they might face. Most studies of health have focused on children and adolescents.
Machine learning can detect a genetic disorder from speech recordings
How much information can we extract from a five-minute recording of someone talking? Enough to tell whether that individual may be genetically predisposed to some health complications, according to researchers at the University of Wisconsin–Madison’s …