Health
Machine learning identifies patterns of maternal autoantibodies associated with autism – News-Medical.Net
Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis…
Using machine learning, researchers at the UC Davis MIND Institute have identified several patterns of maternal autoantibodies highly associated with the diagnosis and severity of autism.
Their study, published Jan. 22 in Molecular Psychiatry, specifically focused on maternal autoantibody-related autism spectrum disorder (MAR ASD), a condition accounting for around 20% of all autism cases.
The implications from this study are tremendous. It’s the first time that machine learning has been used to…
-
Noosa News5 hours agoMan charged over allegedly abandoning Arnie the German shepherd in car after claiming dog and vehicle were stolen
-
Noosa News6 hours agoMotorcyclist dies in crash with truck
-
Noosa News20 hours agoPolice officer who tracked Toyah Cordingley’s phone gives evidence at Rajwinder Singh’s murder trial
-
General20 hours agoARIA Awards 2025 winners: Amyl & The Sniffers and Ninajirachi dominate