Biologically informed neural network for subphenotype classification in septic AKI
Sepsis is a life threatening condition where the body’s reaction to an infection results in a dysregulated immune response - ultimately causing damage to tissues and organs. The syndrome is diverse, both in underlying biology, disease manifestation and severity, and is therefore divided into endotypes and further into subphenotypes. Further understanding of the biological pathways of the various sUtilizing machine learning to understand sepsis Sepsis is one of the deadliest syndromes in modern time, with little to no effective therapies available. In this project, machine learning was utilized to gain insight into the underlying biology of sepsis - a necessary step in finding novel and effective treatments and diagnostic tools. Sepsis is a syndrome (collection of symptoms) which is respon