The National Institute of Biomedical Imaging and Bioengineering, under the Discovery and Applied Research for Technological Innovations to Improve Human Health (CFDA 93.286) program, awarded a $389,813 Project Grant to the University of California, Los Angeles (UCLA) to develop and assess novel frameworks for accurately predicting functional recovery in patients with moderate-to-severe traumatic brain injury (TBI). Through this two-year project, UCLA's researchers aim to leverage non-parametric models and machine learning techniques to fuse and incorporate routine multimodal and multiplex magnetic resonance imaging (MRI) signals into a prediction framework. The goal is to create a tool that can be deployed in intensive care units to help guide medical decision-making in an evidence-based manner, potentially improving upon current clinical prognostication methods that tend to over-estimate poor outcomes and under-estimate positive outcomes. If successful, the intent is to further develop this research into a broadly accessible platform for practicing clinicians to supplement TBI prognosis with quantitative and spatial multimodal MRI data.
Generated 2/25/25, 5:36 AM