University of California

Nam K Tran

Benjamin A Keller

Joseph M Galante

Hooman H Rashidi

Anthony J Carden

In some aspects, the disclosure is directed to methods and systems for machine learning-based identification of sepsis in patients, such as those with severe burn injuries. A set of biomarker and vital sign measurements of a population with a known clinical diagnosis may be collected and normalized. A first subset of the modified set of biomarker and vital sign measurements may be used to train and test the algorithm (e.g. a neural network), and a second subset of the modified set of biomarker and vital sign measurements may be used for secondary validation studies.

Systems and methods for machine learning-based identification of sepsis

A vasculature simulation device includes an aortic conduit having an inner bore corresponding to a human aorta, a first femoral conduit and a second femoral conduit having an inner bore of a diameter corresponding to a human femoral artery and disposed in fluid communication with the second end of the aortic conduit, and a return conduit in fluid receiving communication with the second end of the aortic conduit. A fluid pump is in fluid receiving communication with the return conduit and is also in fluid providing communication with the first end of the aortic conduit. An access site formed of a penetrable material is disposed adjacent to the first femoral conduit.

Growing community of inventors

Davis, CA, United States of America

Nam K Tran