iLearn: Interpretable Learning Methods for Immunotherapy

The objective of this project is to develop a new data science framework built on novel neural network architectures, which are able to produce explainable and interpretable models for personalized oncology.

Applicant

Pascal Frossart (EPFL), Olivier Michielin (CHUV)

Type

Module A

Health 2030 Institutions