ALERT (ALS Early Recognition Timeline) Project
People with ALS often seek evaluation from multiple providers prior to diagnosis, with an average time from symptom onset to diagnosis of 11.5 months. The goal of this study is to accelerate ALS diagnosis by developing a natural language processing-based algorithm to identify people at risk for ALS and a scale to help physicians identify people with ALS at early stages of the disease. We aim to scale up these early ALS diagnostic tools for use in many US hospitals, with the ultimate goal to identify and treat people with ALS early in the disease when chances of drug success are higher. This project is co-funded by ALS Finding a Cure and Biogen.