How can hematology help us understand the application of AI to the drug discovery process? AI Expert and Scientific Researcher of Hematology at Institut Cochin, Tatayana Tavella teaches us how.

To connect with Tatyana, visit her Linkedin here.
To read more about Tatayna's research, visit her Google Scholar page here.

Key Takeaways:

1. Tatyana's pharmacology internship at the National Institutes of Health is what drove her to do a PhD. 

2. The use of computational tools in the drug discovery process have been used since the 1970s, but its increased use occurred when it matured into machine learning and generative AI in 2018. 

3. The three limitations of AI in the drug discovery process are the quality of the data, transparency (trust), and capability.

*Please note that this interview is informational and is not meant as an endorsement/support/advocacy.