COVID-19: Impacts and Insights from AI & Machine Learning Webinar - August 13

Poster:Post date:2020-07-30

Event Date & TimeAugust 13, 2020 (Thursday10:00 AM - 11:40 AM (Taipei Time)

Machine learning and AI are increasingly used for uncovering new insights into viral research. In this webinar genome-scale RNA localization of human and viral transcripts, such as for SARS-CoV-2 viral RNAs are discussed using APEX-seq, a machine learning method that quantifies RNA subcellular residency on a genome-wide scale. In the second half of the webinar the evolution and propagation of viruses using AI graph-based mapping techniques is described. Quick mapping of mutations is needed to identify targets for drug development and public health predictions. Elsevier will also share how we support the research community via the COVID-19 Research Collaboration Portal and finding datasets on Mendeley Data.

Once you have registered, you will receive an email from GotoWebinar.com.  You will need this message to join the meeting. If you do not receive it, please check ‘spam’ filters and then contact with us. Please join the webinar 10-15 minutes prior to the scheduled start time.




10:00 AM
-10:40 AM

RNA address codes for human and viral genomes 

Howard Chang , MD, PhD
Virginia and D. K. Ludwig Professor of Cancer Genomics and of Genetics
Stanford University

10:40 AM
-11:20 AM

Mapping COVID-19 Virus Mutations through Artificial Intelligence

Dr. Ching-Yung Lin
Founder & CEO of Graphen Inc. and
Adjunct Professor in Columbia University

11:20 AM
-11:40 AM

Supporting Research Collaboration during COVID-19
- via the  COVID-19 Research Collaboration Portal and finding datasets on Mendeley Data

Adam Jia Kang Goh
Regional Solution Sales Manager, Pure
Elsevier APAC

Contact Us

Weiwei Cheng
Senior Marketing Manager
Elsevier Taiwan
+886 2 25225912

Charlie Lee
Marketing assistant
Elsevier Taiwan

+886 2 25225918



Last modification time:2020-07-31 AM 11:23

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