We are excited to invite you to a seminar focused on the evolving role of machine learning (ML) and deep learning (DL) in biomedical research, with a particular emphasis on how these tools could reshape the traditional process of hypothesis testing.
The seminar will highlight the use case of pancreatic cancer subtyping we are focusing on at the moment, as a practical example of integrating AI methodologies into life science research. Drawing from our own experiences, and reviewing the current literature, we will discuss the design of ML and DL algorithms to address these key research challenges.
Following the lecture, we will host a round table discussion to encourage participants to share their perspectives on how AI is and can be further applied in their own research contexts. This interactive session is designed to bring together researchers from diverse backgrounds to exchange ideas and identify opportunities for further development.
Schedule:
11:00-11:50 A joined lecture by Polina Kurtser and Cedric Patthey
11:50-12:00 Coffee break and splitting into groups.
12:00-12:45 Round table discussions
12:45-13:00 Summary
Note: To help us plan for an appropriate number of participants and ensure we have enough refreshments and sandwiches, please register in advance.
Register here: https://forms.office.com/e/wd13Yr2pV7