Covers the evasion of immune pressure by tumors, cancer immunotherapies, drug delivery strategies, and the impact of nanoparticle characteristics on tumor penetration.
Explores the history, mechanisms, and players of cancer immunotherapies, including immune evasion strategies and the role of MHC in antigen presentation.
Covers precision tumor recognition, challenges in T cell therapy, vaccination impact, history, types, and examples of vaccines, immune response, and COVID-19 vaccine types.
Delves into the intersection of physics and data in machine learning models, covering topics like atomic cluster expansion force fields and unsupervised learning.
Introduces the Applied Data Analysis course at EPFL, covering a broad range of data analysis topics and emphasizing continuous learning in data science.
Explores the basic concepts and translational opportunities in immunometabolism, emphasizing the intricate interactions between immune cells and different cell types.
