1 citations · 2 across the 5 of their papers we have counts for
5 papers
Designing cultured tissue moulds using evolutionary strategies
Allison E. Andrews, Hugh Dickinson, James P. Hague
There is an unmet need for artificial intelligence techniques that can speed up the design of growth strategies for cultured tissues. Cultured tissue is increasingly important for…
Rapid prediction of organisation in engineered corneal, glial and fibroblast tissues using machine learning and biophysical models
Allison E. Andrews, Hugh Dickinson, Caitriona O'Rourke +2
We present a machine learning approach for predicting the organisation of corneal, glial and fibroblast cells in 3D cultures used for tissue engineering. Our machine-learning-based…
High-throughput design of cultured tissue moulds using a biophysical model
James P. Hague, Allison E. Andrews, Hugh Dickinson
The technique presented here identifies tethered mould designs, optimised for growing cultured tissue with very highly-aligned cells. It is based on a microscopic biophysical model…
Rapid prediction of lab-grown tissue properties using deep learning
Allison E. Andrews, Hugh Dickinson, James P. Hague
The interactions between cells and the extracellular matrix are vital for the self-organisation of tissues. In this paper we present proof-of-concept to use machine learning tools…
The Effect of Aspect Changes on Near-Earth Asteroid Phase Curves
Samuel L. Jackson, Benjamin Rozitis, Lord R. Dover +4
Phase curves of asteroids are typically considered to depend solely on the scattering properties of airless particulate surfaces and the size of the object being studied. In this s…