Can we use artificial intelligence to track and even predict epidemics like COVID-19?
And do our genes make us more susceptible to catching the virus?
We're living in the so-called Fourth Industrial Era, where data science and algorithms are helping us find solutions to the most complex problems, and informing researchers who are trying to stem further transmissions of COVID-19.
Today, we speak with two scientists who are working to improve health and beat diseases, using bioinformatics.
Buhm Han, Professor of Seoul National University's College of Medicine and CTO of bioinformatics company Genealogy joins us in Seoul.
We also connect with Niema Moshiri, Professor of Computer Science & Engineering at the University of California, San Diego.
1. Genetic test kits have been very popular over the past year, indicating how we are likely to have certain characteristics and how susceptible we are to health risks. How do people's genes influence how their bodies react to viruses like COVID-19?
2. How are bioinformatics and AI currently being used to help researchers overcome limitations in preventing and treating diseases?
3. You have been tracking the evolution of COVID-19. What have been some trends you've found interesting? How does it compare with the seasonal flu's rate of mutation?
4. Professor Han, there are concerns that COVID-19 is mutating in various parts of the world. Is there a possibility this could compromise vaccine development?
5. How are you helping efforts to track the evolution of COVID-19, and how can this help public health officials, and also inform drug design?
a. You are CTO of a bioinformatics company, which is applying artificial intelligence to genotyping. Could you tell us more about your technology and what progress have you seen in terms of accuracy?
b. Right now, you are focusing on blood cancer but do you plan to expand into other diseases? What is the vision for your company?
What outcomes do you hope to see from your research on COVID-19 and what is your vision for bioinformatics in viral research?
How should or could bioinformatics be developed and actively used to prepare for future epidemics?
What do you think should be done to prevent or minimize the scale of future epidemic outbreaks?
Buhm Han, Associate Professor of Medicine at Seoul National University and CTO of Genealogy joins us and Niema Moshiri, Assistant Teaching Professor of Computer Science & Engineering at the University of California, San Diego.
Thank you for joining us.