Projects
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
