Editorial review: engineering modelling and intelligent computing are synergistic in translational medicine research

Ying Chen, N. Botros, Mary Yang
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Abstract

The field of engineering modelling and intelligent computing research has developed a large and substantial body of knowledge, based mostly in medical, healthcare, science and engineering programs. The basic paradigm has been the use of engineering and computational techniques, with the randomised clinical trial forming the main basis for progress. Quantitative models to analyse questions related to healthcare and personalised medicine have been used to design, validate and support the effective clinical applications. The use of advanced engineering and computational models to solve biomedical and healthcare problems for optimal design or resource allocations are key components of personalised medicine for decades. The development, implementation and transfer into clinical practice of data-driven models to support biological and medical research is an important research area in related fields. This special issue contains several ongoing research projects aimed at developing current signal and imaging and functional informatics techniques focusing on modern engineering modelling and computational medicine. Those papers represent important original scientific contributions to the modern biomedical and healthcare fields.
编辑评论:工程建模和智能计算在转化医学研究中是协同的
工程建模和智能计算研究领域已经发展了一个庞大而丰富的知识体系,主要基于医学、卫生保健、科学和工程项目。基本范例是工程和计算技术的使用,随机临床试验是进展的主要基础。定量模型用于分析与医疗保健和个性化医疗相关的问题,并用于设计、验证和支持有效的临床应用。几十年来,使用先进的工程和计算模型来解决最佳设计或资源分配的生物医学和医疗保健问题是个性化医疗的关键组成部分。开发、实施数据驱动模型并将其转化为临床实践以支持生物学和医学研究是相关领域的一个重要研究领域。本期特刊包含几个正在进行的研究项目,旨在发展当前的信号、成像和功能信息学技术,重点是现代工程建模和计算医学。这些论文代表了对现代生物医学和保健领域的重要原创科学贡献。
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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