Integrative Analysis of Clinical and Multi-Omics Data for Blood Cancer Treatment Responses
This internship, a collaboration between Gustave Roussy, Europe’s top cancer research center, and CentraleSupélec, a leading institution in applied mathematics and artificial intelligence, seeks to push the boundaries of personalized medicine. The project focuses on predicting treatment responses in patients with subtypes of myeloid leukemia called myelodysplastic neoplasms, undergoing Erythropoietin (EPO) and Azacitidine (AZA) therapy. Using advanced AI and machine learning techniques, the goal is to integrate clinical and multi-omics data to uncover the factors that predict treatment outcomes, to ultimately optimize therapies.
Requirements:
- Master's degree in Mathematics, Computer Science or related field
- Strong programming skills
- Background in machine learning