DGNN Article Review

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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…
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Meet Our DGNN Team Members:  Nihal Satyadev

Meet Our DGNN Team Members: Nihal Satyadev

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3 Things to know about Nihal Satyadev:   Nihal Satyadev recently joined DGNN as a member of the computational team. Nihal joins DGNN from University of Medicine and Health Sciences where he is currently in medical school. Here are a few things you need to know about Nihal: Nihal is the Chairman and Co-Founder of the Youth Movement Against Alzheimer’s. After his grandmother was diagnosed with Alzheimer’s and upon realizing how few high school and college age students were aware of the threat that this disease poses to our economy, Nihal founded and grew the organization to become the largest youth-advocacy Alzheimer’s group in the country that has provided nearly 10,000 hours of respite care.  Nihal is an avid backpacker and hiker and has climbed most of the mountains in Southern…
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