AI + gene science Artificial intelligence decodes human gene
YOSIA Webinar     2020.10.17
Speeches
Lecturer Profiles

Gene is the blueprint of life, protein is the executor of physiological function and the embodiment of life phenomenon. A simple protein contains hundreds of amino acids, the possibility of its spatial structure is as high as 10 to the power of 300. Not only Amino acid sequences in proteins, but also their spatial structure will determine life phenomena and diseases. A little error in protein structure will lead to various diseases. Therefore, the analysis of protein structure has become an important key for the diagnosis of diseases, research and development of new drugs and in-depth understanding of life phenomena after gene sequencing.
With the development of genomics and sequencing technology, all kinds of omics data are generated and accumulated at an amazing speed. These data bring great opportunities and challenges to biomedicine. Scientists are exploring how to use artificial intelligence, deep learning and other intelligent technologies to achieve more effective omics data analysis, so as to transform them into valuable biomedical knowledge, understand the pathogenesis of diseases, and find the treatment methods of diseases that have not been conquered by human beings. In the future, the integration of biology, medicine and intelligence will become the key point of the revolution of life science.
This webinar invites scholars of genomics, gene editing and bioinformatics to share how to use machine learning, big data and computational methods to analyze human genome and enable biological research. At the same time, industry representatives are invited to discuss the scientific potential and ethical risks of the future development of gene research with artificial intelligence.

Moderator

Haoyi WANG, Principle Investigator, Group leader of Genome Engineering Technology, Institute of Zoology, Chinese Academy of Sciences, Member of Future Forum YOSIA


Keynote Speech

-Yi XING, Founding Director of the Center for Computing and Genomics medicine, Children's Hospital of Philadelphia, Professor of Francis West Lewis, Professor of Department of pathology and experimental medicine, School of Medicine, University of Pennsylvania
-Han LIANG, Professor and Associate Director of Department of Bioinformatics and Computational Biology, MD Anderson Cancer Center, Texas, USA
-Dongbo BU, Researcher, Institute of Computing technology, Chinese Academy of Sciences
-Le CONG, Member of Future Forum YOSIA, Assistant Professor of Pathology and Genetics, Stanford University School of Medicine


Participants

-Jinnan HU, Product Director of Sentieon
-Xiujie WANG, Researcher, Doctoral Supervisor, Institute of Genetics and Developmental biology, Chinese Academy of Sciences



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Summary
This webinar invites scholars of genomics, gene editing and bioinformatics to share how to use machine learning, big data and computational methods to analyze human genome and enable biological research. At the same time, industry representatives are invited to discuss the scientific potential and ethical risks of the future development of gene research with artificial intelligence.