{Reference Type}: Journal Article
{Title}: Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling.
{Author}: Wadkin LE;Makarenko I;Parker NG;Shukurov A;Figueiredo FC;Lako M;
{Journal}: Curr Stem Cell Rep
{Volume}: 9
{Issue}: 4
{Year}: 2023
暂无{DOI}: 10.1007/s40778-023-00229-0
{Abstract}: <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.