Chapter

Using Artificial Intelligence to Predict Effective Chemical Compounds
By analyzing chemical structures with AI, researchers can look for commonalities in effective and ineffective chemical compounds to predict which substances to test in the future. The ability to do so is important for creating effective drugs, such as intelligent microchips that release a drug in response to a signal.
Clips
The process of drug discovery involves a mix of serendipitous discovery and systematic science, from trying different chemical reactions to going through various clinical trials to ensure safety and efficacy of the final product.
19:51 - 22:45 (02:53)
Summary
The process of drug discovery involves a mix of serendipitous discovery and systematic science, from trying different chemical reactions to going through various clinical trials to ensure safety and efficacy of the final product.
ChapterUsing Artificial Intelligence to Predict Effective Chemical Compounds
Episode#105 – Robert Langer: Edison of Medicine
PodcastLex Fridman Podcast
Nanotechnology has the potential to revolutionize drug delivery by creating systems like intelligent microchips that could deliver drugs in response to certain signals, such as glucose levels.
22:45 - 25:57 (03:12)
Summary
Nanotechnology has the potential to revolutionize drug delivery by creating systems like intelligent microchips that could deliver drugs in response to certain signals, such as glucose levels. While still in the early stages, this technology could lead to improved safety and efficiency in drug delivery.
ChapterUsing Artificial Intelligence to Predict Effective Chemical Compounds
Episode#105 – Robert Langer: Edison of Medicine
PodcastLex Fridman Podcast
With the vast amount of chemical data available, artificial intelligence can be utilized to identify commonalities in chemical structures and predict the success of future drug testing to treat various diseases.
25:57 - 28:00 (02:02)
Summary
With the vast amount of chemical data available, artificial intelligence can be utilized to identify commonalities in chemical structures and predict the success of future drug testing to treat various diseases.