Thesis of Léo Schneider
Subject:
Deep learning in mass spectrometry
Start date: 01/11/2023
End date (estimated): 01/11/2026
Advisor: Stéphane Derrode
Coadvisor: Zied Bouyahya
Summary:
The aim of this project is to develop automatic methods for processing mass spectrometer data to reduce the time needed to diagnose blood or urine infections. The aim is to predict the level of antibiotic resistance in pathogenic micro-organisms.