Nataliya Sokolovska – Interpretable models for clinical scores

EMBO|FEBS Lecture Course ‘Cancer systems biology: Promises of artificial intelligence’, September 28 – October 2, 2020

Share this post

Choose a social network to share with, or copy the shortened URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

A talk from Dr Nataliya Sokolovska, from University Pierre et Marie Curie, in France, on "Interpretable models for clinical scores".

It was delivered online (talk 4 of 20) on 29 September 2020 as part of the Session 3: Patient stratification and disease classification using Artificial Intelligence methods (1), of the EMBO|FEBS Lecture Course 'Cancer systems biology: Promises of artificial intelligence'. See the event's overview of talks.

The course was organized by the Training Unit of Institut Curie and it was the third edition of their Computational Systems Biology of Cancer course.

Join the FEBS Network today

Joining the FEBS Network’s molecular life sciences community enables you to access special content on the site, present your profile, 'follow' contributors, 'comment' on and 'like' content, post your own content, and set up a tailored email digest for updates.