SYSTEMS AND METHODS FOR PREDICTING OUTCOMES FOR A LUNG UNDERGOING AN EX VIVO LUNG PERFUSION

Abstract: devices, systems and methods for predicting an outcome for a lung undergoing an ex vivo lung perfusion are provided. the device includes a processor configured to: obtain values for a first set of features from data obtained for lung features including donor parameters, physiological parameters, biochemical parameters, and/or biomarkers collected during evlp; process the data for a subset of the lung features to determine values for a second set of features based on temporal characteristics of the data for the subset of the lung features; and determine predicted probabilities for several outcome classifications by providing the values for the first and second sets of lung features as inputs to a machine learning model.

Inventor(s): Shafique Keshavjee, Bo Wang, Marcelo Cypel, Andrew Sage

CPC Classification: G16H50/30 (for calculating health indices; for individual health risk assessment)

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