Human Stem Cells for Ophthalmology: Recent Advances in Diagnostic Image Analysis and Computational Modelling.

IF 2.3 Q4 CELL & TISSUE ENGINEERING Current Stem Cell Reports Pub Date : 2023-01-01 Epub Date: 2023-11-18 DOI:10.1007/s40778-023-00229-0

L E Wadkin, I Makarenko, N G Parker, A Shukurov, F C Figueiredo, M Lako

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Abstract

Purpose of review: To explore the advances and future research directions in image analysis and computational modelling of human stem cells (hSCs) for ophthalmological applications.

Recent findings: 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.

Summary: 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.

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人类干细胞用于眼科：诊断图像分析和计算建模的最新进展》。

综述的目的：最新研究结果：由于造血干细胞可应用于基于细胞的疗法，以及利用最先进的二维和三维类器官模型进行疾病建模和药物发现，因此在眼部再生医学方面具有巨大潜力。然而，要将其应用于临床实践，还需要对其复杂的多尺度特性进行更深入的描述。图像分析与计算建模相结合是探索造血干细胞行为机制、帮助临床诊断和治疗的有力工具。摘要：许多计算模型借鉴了多种技术，通常融合了连续和离散方法，并已用于描述细胞分化和自组织。机器学习工具在模型开发和改进临床诊断与治疗的图像分类过程中产生了重大影响，并将成为未来研究的重点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Current Stem Cell Reports Biochemistry, Genetics and Molecular Biology-Genetics

CiteScore

3.30

自引率

0.00%

发文量

期刊介绍： The goal of this journal is to publish cutting-edge reviews on subjects pertinent to all aspects of stem cell research, therapy, ethics, commercialization, and policy. We aim to provide incisive, insightful, and balanced contributions from leading experts in each relevant domain that will be of immediate interest to a wide readership of clinicians, basic scientists, and translational investigators. We accomplish this aim by appointing major authorities to serve as Section Editors in key subject areas across the discipline. Section Editors select topics to be reviewed by leading experts who emphasize recent developments and highlight important papers published over the past year on their topics, in a crisp and readable format. We also provide commentaries from well-known figures in the field, and an Editorial Board of internationally diverse members suggests topics of special interest to their country/region and ensures that topics are current and include emerging research.