Study Name: Towards Better Understanding of ALS using a Multi-Marker Discovery Approach from a Multi-Modal Database (ALS4M)

Study Acronym: ALS4M

Study PI(s): Xing Song, PhD

Purpose: A multi-marker (biomarker, clinical marker, geo-marker, socio-marker) discovery algorithm based on our established ensemble embedded feature selection (EEFS) framework and apply it to the integrated multi-modal database to discover a) novel modifiable risk factors, b) new symptomatic patterns for early diagnosis, and c) effective clinical care pathways for ALS.

Study Sponsor: Centers for Disease Control and Prevention (CDC) 

GPC Partners: 

1. 1. Allina Health 
   2. University of Utah (UUTAH)
   3. University of Iowa (UIOWA)
   4. University of Texas SouthWestern Medical Center (UTSWMC)
   5. University of Nebraska Medical Center (UNMC)
   6. Intermountain Health (IH)
   7. University of Missouri (UMO)
   8. Medical College of Wisconsin (MCW)Identify and Evaluate Potential Risk Factors for Amyotrophic Lateral Sclerosis (ALS)