Science at the Prague Castle: Rethinking Human Health with AI - Solving Old Mysteries with Modern Tools

Speaker: Regina Barzilay

Regina Barzilay is School of Engineering Distinguished Professor of AI & Health in the Department of Computer Science and the AI Faculty Lead at MIT Jameel Clinic. She develops machine learning methods for drug discovery and clinical AI. In the past, she worked on natural language processing. Her research has been recognized with the MacArthur Fellowship, an NSF Career Award, and the AAAI Squirrel AI Award for Artificial Intelligence for the Benefit of Humanity. Regina is a member of the National Academy of Engineering, National Academy of Medicine, and the American Academy of Arts and Sciences.

Science-popularizing lecture from the series Science at the Prague Castle.

Even healthy individuals have little insight into their future health trajectory. We don't know which diseases will afflict us in the future,  how they will impact our life and whether a specific treatment will help. AI models have potential to transform this centuries-old status quo due to their uncanny capacity to predict future outcomes. In this talk, prof. Barzilay will explain at  a high level how these models make their predictions and will illustrate it with specific examples in the area of cancer diagnosis and treatment. In the second part she will focus on AI based methods for drug discovery.   

The lecture will be given in English.

Organized by Prague Castle Administration, Institute of Organic Chemistry and Biochemistry 
of the CAS, and Charles University. Supported by IOCB Tech Foundation.

Date and place

Wednesday, 22 May 2024, 6 p.m.
Lecture takes place in the lecture room in the Supreme Burgrave´s House
(entrance from the Golden Lane).

If you are interested in this lecture, please make reservation here.


Admission free.