Description
Date depot: 1 octobre 2019
Titre: Cause-effect analyses of breast cancer clinical records from Institut Curie
Directeur de thèse:
Hervé ISAMBERT (PC_Curie)
Encadrante :
Anne-Sophie HAMY (Institut Curie, Immunity and Cancer)
Domaine scientifique: Sciences et technologies de l'information et de la communication
Thématique CNRS : Intelligence artificielle
Resumé:
This interdisciplinary / translational PhD project aims at uncovering cause-effect relationships in the breast
cancer clinical records from Institut Curie Hospitals. The proposed approach is based on the development
and implementation of novel information-theoretic methods to analyze information-rich clinical data from
curated clinical records as well as medical consultation reports of breast cancer patients over a ten-year
period (2002-2013). While numerous methods have been developed to identify correlations
in heterogeneous clinical records, a central challenge remains to uncover unsuspected cause effect
relationships when clinical essays are impractical or costly if not unethical despite possible benefits for the
patients' health and survival. In such settings, it is now considered a priority to guide clinical understanding
and treatments by novel and innovative data analysis and computational methods. This project aims, more
specifically, at identifying possible causal relationships between breast cancer treatments and other
seemingly unrelated medications to circumvent detrimental interference or, on the contrary, leverage
therapeutic synergy between drug treatments and ultimately improve the clinical outcomes of breast cancer
patients
Doctorant.e: Da Camara Ribeiro Dantas Marcel