Towards Generalist Biomedical AI

Foundation models have changed how we develop medical AI. These powerful models, trained on massive datasets using self-supervised learning, are adaptable to diverse medical tasks with minimal additional data and paved the way for the development of generalist medical AI systems.

We are excited to have Shekoofeh (Shek) Azizi a staff research scientist and research lead at Google DeepMind, where she focuses on translating AI solutions into tangible clinical impact.

This hybrid event is organized in partnership with the NCT Data Science Seminar at DKFZ and the ELLIS Unit Heidelberg.

For more info go to our Website:
https://heidelberg.ai/2024/12/18/shek_azizi.html

NCT Data Science Seminar:
https://www.dkfz.de/en/datascience/seminar/Azizi2.html