{"id":12610,"date":"2021-05-18T18:59:29","date_gmt":"2021-05-18T23:59:29","guid":{"rendered":"https:\/\/last-drum.flywheelsites.com\/?p=12610"},"modified":"2024-06-05T10:27:04","modified_gmt":"2024-06-05T15:27:04","slug":"maternal-antibodies-asd","status":"publish","type":"post","link":"https:\/\/autism.org\/maternal-antibodies-asd\/","title":{"rendered":"Research Updates on Maternal Autoantibodies and ASD"},"content":{"rendered":"

<\/div>
<\/div>
<\/div>
<\/div><\/div><\/div>
<\/div>
<\/div>
<\/div>
\n
\n
\n

Judy Van de Water, Ph.D.,<\/a> discusses current machine learning research used to identify several patterns of maternal autoantibodies associated with the diagnosis and severity of autism. She outlines the history of autoantibody research related to autism, defines a new subtype, and details animal model development. Van de Water discusses commonalities across presented models and findings, highlighting the potential for biomarkers and preclinical studies. She summarizes significant findings and research themes before opening the question and answer session.<\/span><\/p>\n<\/div>\n<\/div>\n

Learn more about our speaker, Judy Van de Water, Ph.D., HERE<\/a><\/div>\n
Take the knowledge quiz HERE<\/a><\/div>\n<\/div>\n<\/div>
<\/div>
<\/div>
<\/div>