Arcos Contributes to Machine Learning Model for Massive Transfusion
Arcos’ CEO Chris Meador joins researchers from the University of Chicago, The Ohio State University Wexner Medical Center, University of Alabama at Birmingham, Uniformed Services University, University of Texas Health Science Center at Houston and University of Pennsylvania to publish “Early Prediction of Massive Transfusion for Patients with Traumatic Hemorrhage: Development of a Multivariable Machine Learning Model”. The Machine Learning model more accurately predicts blood needed for trauma patients than traditional scores using data available within minutes of trauma center arrival. Additionally, the quality of the prediction improves when more data is provided. Click here for Open Access to this Annals of Surgery Open article: Early Prediction of Massive Transfusion….
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Arcos Contributes to New Mathematical Model for Burn Resuscitation
Arcos co-founder and CEO, Chris Meador, co-authored the newly released paper, “Mathematical
Model of Volume Kinetics and Renal Function after Burn Injury and Resuscitation.” The model
predicts blood volume changes and urinary output in response to burn injury and fluid
resuscitation. Click here to access the journal article: Mathematical Model…