In January 2020, an article titled “Associations of Patient Mood, Modulators of Quality of Life, and Pharmaceuticals with Amyotrophic Lateral Sclerosis Survival Duration” was published in the Behavioral Sciences journal. Leila Bond, one of our hardworking undergrads, is the first author of this paper, which marks her third first-author publication. This is an impressive accomplishment for an undergrad, and all of us in the lab are extremely proud of her. This paper is about the association between the modulators of Amyotrophic Lateral Sclerosis (ALS) patients’ quality of life and their survival duration. It has received recognition from the amount of “hits” that it has received since publication, meaning that it has been read many times in this short period. We are proud of Leila’s previous achievements and are excited to see the amazing things that she will surely be a part of in her future.

Over the Christmas break, we had a peer-reviewed journal article published in Frontiers in Cellular Neuroscience, which examined neuromodulatory regulation in the SOD1 G93A ALS mouse model. This paper showcases the importance of curated data and how it is used to do analyses.

This paper has an amazing string of successful co-authors who were all undergrad alums in the lab.  Kathleen Jordan is now working as a clinical research technologist for the REAR lab at Georgia Tech, Joseph Murphy is moving into industry, and Anjanya Singh is currently in medical school in Texas and doing quite well.

Jordan, K., et al. (2018). “Astrocyte-Mediated Neuromodulatory Regulation in Preclinical ALS: A Metadata Analysis.” Frontiers in Cellular Neuroscience 12(491).

Congratulations to Nishad Khamankar, the first author of the highly anticipated bi-level positive airway pressure (Bi-PAP) for ALS. This paper was published in Frontiers in Neurology and examines the benefits of daily Bi-PAP and cough assist on the survival of ALS patients. This paper has helped move ALS care forward and our lab is very proud of Nishad for his work.

Download your copy here: https://www.frontiersin.org/articles/10.3389/fneur.2018.00578/full

 

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.

Pfohl, S. R., et al. (2018). “Unraveling the Complexity of Amyotrophic Lateral Sclerosis Survival Prediction.” Frontiers in Neuroinformatics 12(36).