This is the long awaited Pfohl 2018 et. al. article in Frontiers in Neuroinformatics, which used a machine learning model to predict and classify ALS clinical survival. This paper showcases where our lab is headed in terms of potential complexity and machine learning approaches to predictive medicine.
This paper has an amazing string of successful co-authors who were all undergrad alums in the lab. Stephen Pfohl is now an NSF fellow getting a PhD in Bioinformatics at Stanford, Renaid Kim is getting an MD-PhD at University of Michigan Medical Scientist Training Program, and Grant Coan is getting his MD at University of Texas at San Antonio.
