journal article·2023-11Open access

Accurate Prediction of Antimicrobial Susceptibility for Point‐of‐Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes (Adv. Sci. 31/2023)

Xin Jiang, Talya Borkum, Sagi Shprits, Joseph Boen, Sofia Arshavsky‐Graham, Baruch Rofman, Merav Strauss, Raul Colodner, Jeremias Sulam, Sarel Halachmi, Heidi Leonard, Ester Segal

Advanced Science· Volume 10· Issue 31

Abstract

Antimicrobial Susceptibility Testing In article number 2303285, Xin Jiang, Heidi Leonard, Ester Segal, and co-workers introduce the intensity-based phase-shift reflectometric interference spectroscopic measurements (iPRISM) device, capable of rapidly detecting urinary tract infections and their antibiotic resistance by monitoring bacterial behavior on silicon diffraction gratings upon exposure to antibiotics. Coupling machine learning algorithm allows accurate prediction < 1 hour.
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Research context

OpenAlex topics: Biosensors and Analytical Detection · Spectroscopy Techniques in Biomedical and Chemical Research · Bacterial Identification and Susceptibility Testing

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