Beth Baltes

Dr. Haglund, Director of DGNN, recently talked with NPR about how medical mission teams have had to adjust during the COVID pandemic. Use the link below to access the full article: The pandemic shut down fly-in medical missions — and has led to a rethink : Goats and Soda : NPR  

Predicting the Individual Treatment Effect of Neurosurgery for Patients with Traumatic Brain Injury in the Low-Resource Setting: A Machine Learning Approach in Uganda Written by: Adil SM, Elahi C, Gramer R, Spears CA, Fuller AT, Haglund MM, Dunn TW   DGNN’s communications team recently sat down with Adil Syed to talk about their recent publication in the Journal of Neurotrauma. We share a few relevant details below:   DGNN: What are the main takeaways? (What were the key results or conclusions from the research?) Adil: We provide the first machine learning-based prediction of the impact of surgery for TBI patients in low and middle income countries (LMICs). Results suggest that current patient selection for surgery may be suboptimal, and a tool such as ours may enable better decision making and…