Virtual disease landscape using mechanics-informed machine learning: Application to esophageal disorders

Sourav Halder, Jun Yamasaki, Shashank Acharya, Wenjun Kou, Guy Elisha, Dustin A. Carlson, Peter J. Kahrilas, John E. Pandolfino, Neelesh A. Patankar

Abstract: Highlights•Mechanical health of an organ is defined in terms of its mechanical properties•Dimension of the mechanics-based parameter space is reduced using deep learning•Virtual disease landscape (VDL) is a plot of esophageal states (normal and diseased) in the low-dimension latent space•Diseases cluster in the VDL and this helps identify corresponding physiomarkers•VDL can be used to quantitatively estimate the effectiveness of a treatment