P690: An ensemble feature selection and nested cross-validation approach using miRNA profiles for the automated detection of Usher syndrome

Usher syndrome is a rare genetic disorder characterized by hearing loss, vision impairment, and balance issues. Traditional testing for Usher syndrome involves a combination of clinical assessments, genetic testing, and, in some cases, imaging studies. These methods are effective but can be time-intensive, costly, and inaccessible for many, often requiring multiple visits to specialized clinics and labs. Given these limitations, there is a critical need for more efficient, non-invasive, and automated diagnostic approaches.