AI and Big Data Analytics for Health and Bioinformatics

C. Kwoh
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Abstract

With the technological advances that allow for high throughput profiling of biological systems at a low cost. The low cost of data generation is leading us to the "big data" era. The availability of big data provides unprecedented opportunities but also raises new challenges for data mining and analysis. In this talk, I will start will the concepts in the analysis of big data, specifically the AI algorithms. My group has in The Biomedical Informatics Lab (BIL) is a research Centre is the focus of the education, research and development, and human-resource training in heath informatics and bioinformatics at NTU. The mission of BIL is to provide the interdisciplinary environment and training for students and researchers to engage in leading and cutting edge research in bioinformatics, and thereby become a part of the life sciences workforce in Singapore and elsewhere. This talk, by presenting selected research activities, will provide an overview of some of the innovative and creative approaches with the application of AI in big data analytics to address the challenges and solutions in both health and bioinformatics.
健康和生物信息学的人工智能和大数据分析
随着技术的进步,允许以低成本对生物系统进行高通量分析。数据生成的低成本正引领我们进入“大数据”时代。大数据的可用性为数据挖掘和分析提供了前所未有的机遇,但也提出了新的挑战。在这次演讲中,我将从大数据分析中的概念开始,特别是人工智能算法。我的团队在生物医学信息学实验室(BIL)是一个研究中心,是南洋理工大学健康信息学和生物信息学的教育、研发和人力资源培训的重点。BIL的使命是为学生和研究人员提供跨学科的环境和培训,以从事生物信息学的领先和前沿研究,从而成为新加坡和其他地方生命科学劳动力的一部分。本讲座将通过介绍选定的研究活动,概述人工智能在大数据分析中的一些创新和创造性方法,以应对健康和生物信息学方面的挑战和解决方案。
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