%0 Journal Article
%T Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling.
%A Wadkin LE
%A Makarenko I
%A Parker NG
%A Shukurov A
%A Figueiredo FC
%A Lako M
%J Curr Stem Cell Rep
%V 9
%N 4
%D 2023
%M 38145008
暂无%R 10.1007/s40778-023-00229-0
%X <B>UNASSIGNED: </B>To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications.<BR><B>UNASSIGNED: </B>hSCs hold great potential in ocular regenerative medicine due to their application in cell-based therapies and in disease modelling and drug discovery using state-of-the-art 2D and 3D organoid models. However, a deeper characterisation of their complex, multi-scale properties is required to optimise their translation to clinical practice. Image analysis combined with computational modelling is a powerful tool to explore mechanisms of hSC behaviour and aid clinical diagnosis and therapy.<BR><B>UNASSIGNED: </B>Many computational models draw on a variety of techniques, often blending continuum and discrete approaches, and have been used to describe cell differentiation and self-organisation. Machine learning tools are having a significant impact in model development and improving image classification processes for clinical diagnosis and treatment and will be the focus of much future research.