PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
Urinary tract infections (UTIs) are prevalent clinical conditions that, if untreated, can progress to urosepsis, a potentially fatal systemic infection. Timely detection and accurate assessment are critical for effective intervention. This presentation will show the integration of Liquid Chromatography-Mass Spectrometry (LC-MS)-based metabolomics and proteomics to advance our comprehension of UTI and urosepsis. Emphasis is placed on biomarker discovery and the development of a Point-of-Care (PoC) device for urosepsis assessment using urine samples.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
The alert did not successfully save. Please try again later.
Pawel Wityk, Kacper Cierpiak, Joanna Raczak-Gutknecht, Mariusz Siemiński, Jacek Szypenbejl, Beata Krawczyk, Michal Markuszewski, Malgorzata Szczerska, "Biomarker identification and point-of-care assessment in urosepsis supported by machine learning," Proc. SPIE 13008, Biophotonics in Point-of-Care III, 130080L (20 June 2024); https://doi.org/10.1117/12.3017006