Artificial intelligence may provide a timely diagnosis for Fragile X syndrome

While Fragile X syndrome is the most common cause of inherited intellectual disability, it is still underdiagnosed in the general population. As the phenotype may be subtle, the diagnostic pathway can take years. In addition to this, the syndrome is accompanied by many secondary health conditions — the full spectrum of which are not entirely understood by medical practitioners — adding to the burden of care for patients and families.

On this month’s GenePod, Arezoo Movaghar, PhD, a post-doc in the Waisman Center at the University of Wisconsin-Madison, and Marsha Mailick, PhD, emeritus vice chancellor for research and graduate education at the University of Wisconsin-Madison, discuss the use of artificial intelligence to both identify the prevalence and severity of secondary medical conditions and to accurately diagnose patients years in advance of a typical clinical diagnosis. See acast.com/privacy for privacy and opt-out information.