A Machine Learning Framework to Predict Subcellular Morphology of Endothelial Cells for Digital Twin Generation
M. Contreras, R. W. Hafenstine, W. Bachman, D. S. Long
This paper develops a machine learning framework to predict 3D subcellular morphology of endothelial cells and generates digital twins with high accuracy.
bioRxiv · Mar 21, 2022 · PreprintBioengineering