Computational Methods for Fast Identification of Antimicrobial Resistance Profile From Metagenomic Samples

Sepsis is a life-threatening condition that is caused by the fast growth of pathogenic bacteria or fungi in the human organism. Sepsis is common among oncological or intensive care patients but also occurs among newborn children. To save the lives of sepsis patients, it is important to find the causes and appropriate treatment as quickly as possible. Appropriate treatment must take into account the potential antimicrobial drug resistance of the pathogenic organism. The aim of the current project is to develop computational methods for the identification of the antimicrobial resistance profile of sepsis pathogen, using DNA sequences from cell-free DNA, extracted from a patient's blood. Developed computational methods will be tested on simulated cell-free DNA samples and their performance will be validated on real sepsis patient samples.