This $377,700 federal Project Grant award from the National Institute on Deafness and Other Communication Disorders (NIDCD), under the Research Related to Deafness and Communication Disorders program (CFDA 93.173), aims to develop and validate a reliable clinical decision support tool (e.g. prediction model) for early risk stratification of cochlear implant (CI) speech perception performance. The primary objective is to integrate novel biomarkers, such as electrocochleography (ECochG), patient comorbidities, and social determinants of health, and utilize artificial intelligence (AI)-based approaches to analyze how multiple clinical and biological markers interact and are associated with sub-phenotypes of CI performance. This research seeks to improve delivery of precision medicine in CI patient care by providing critical decision support tools for patient counseling, auditory rehabilitation recommendations, and considerations of device-related underperformance. The award is granted to The Washington University, a prominent private research institution in Missouri, for a project period from December 1, 2024 to November 30, 2029.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $0 | 1/8/25 | ||
| Not listed | $188.9k | 11/8/24 | ||
| Not listed | $188.9k | 11/8/24 |