MedDX
My interest in the neurosciences began early in medical school after observing a craniotomy to remove a deadly tumor, glioblastoma, from a patient with one of my close mentors. Here, I witnessed the mesmerizing nature of the brain, first-hand, in the operating room. Additionally, it was in medical school where I realized the many unknowns in our current scope of knowledge regarding this vital organ. These two reasons secured my decision to enter a career in the neurosciences. Initially, I attended medical school at the Mercer University School of Medicine in Savannah, Georgia. Throughout my medical training, I was involved in several clinical projects in all aspects of the neurosciences. During my time in medical school, I also became interested in medical device development. Thus, I subsequently enrolled in a Masters in Applied Biomedical Engineering at the Johns Hopkins Whiting School of Engineering. Here, I also participate in a variety of clinical investigatory projects aimed at improving outcomes after surgery for brain cancers. I am mainly involved with incorporating machine learning algorithms to enhance clinical decision-making capabilities for providers.
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MedDX
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We are excited invite you to experience our innovative iOS app, MedDX! Our app is designed to harness machine learning calculators derived from esteemed academic sources to predict medical outcomes. Our overarching objective is to optimize the efficiency of prognosis prediction, risk stratification, and ultimately, enhance the overall performanceof healthcare teams. As of the version 3.0 update, this application is available for iPhone, iPad and Mac computers.