Chapter
Using Machine Learning to Design Viruses for Good and Bad
1:39:40 - 1:49:01 (09:20)
Machine learning can be used for both good and bad purposes, such as designing viruses to attack cancer cells or creating viruses that are untargeted by the immune system to cause harm, highlighting the importance of understanding how proteins work.
Clips
In order to target a virus and not have the immune system destroy it, researchers need to understand how to make it blind to the immune system.
1:39:40 - 1:43:20 (03:40)
Summary
In order to target a virus and not have the immune system destroy it, researchers need to understand how to make it blind to the immune system. This can potentially be done with a measles virus that can spread much easier than the current COVID-19 virus.
ChapterUsing Machine Learning to Design Viruses for Good and Bad
Episode#146 – Michael Mina: Rapid Testing, Viruses, and the Engineering Mindset
PodcastLex Fridman Podcast
The use of machine learning to design proteins that perform specific functions is promising for cancer treatment, but it also raises concerns about the potential creation of deadly viruses.
1:43:20 - 1:46:25 (03:04)
Summary
The use of machine learning to design proteins that perform specific functions is promising for cancer treatment, but it also raises concerns about the potential creation of deadly viruses. There is also debate on the necessity and safety of gain of function tests designed to explore deadly viruses in a lab setting.
ChapterUsing Machine Learning to Design Viruses for Good and Bad
Episode#146 – Michael Mina: Rapid Testing, Viruses, and the Engineering Mindset
PodcastLex Fridman Podcast
The conversation discusses the process of developing molecules for medical purposes, including leveraging data and AI, and the potential positive outcomes and risks associated with these advancements.
1:46:25 - 1:49:01 (02:35)
Summary
The conversation discusses the process of developing molecules for medical purposes, including leveraging data and AI, and the potential positive outcomes and risks associated with these advancements.