Bilkent University
Department of Computer Engineering

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CS 690 SEMINAR

 

Fast Identification of Sepsis Antibiotic Resistance

 

Ricardo Román-Brenes
PhD Student
(Supervisor: Assoc. Prof. Can Alkan )
Computer Engineering Department
Bilkent University

Abstract: Sepsis is a systemic inflammatory response of the body to infections, usually caused by bacteria. It is a condition hard to alleviate due to the difficulty in choosing an appropriate antibiotic treatment. Often the initial antibiotic treatment is not effective against the pathogen, which can result in septic shock or death. An early recognition of the microorganism and identification of its antibiotic sensitivity profile are key to deal with sepsis. The proposed Early Detection of Sepsis prototype makes use of four software stacks to process long read data from patients suspected of having sepsis, from basecalling, to sequence mapping, to antimicrobial profiling in order to generate reports for the health specialists to provide information much faster and accurate than the traditional rule-of-thumb methods, that can help them make a better decision on the treatment to be applied.

 

DATE: 18 April 2022, Wednesday @ 16:40 Zoom