887 citations · 974 across the 4 of their papers we have counts for
4 papers
A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer
Jack McMahon, Naofumi Tomita, Elizabeth S. Tatishev +5
This study introduces a new framework for the artificial intelligence-assisted characterization of Gram-stained whole-slide images (WSIs). As a test for the diagnosis of bloodstrea…
Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy
Babatunde Ogunlade, Loza F. Tadesse, Hongquan Li +6
Tuberculosis (TB) is the world's deadliest infectious disease, with over 1.5 million deaths annually and 10 million new cases reported each year. The causative organism, Mycobacter…
Combining acoustic bioprinting with AI-assisted Raman spectroscopy for high-throughput identification of bacteria in blood
Fareeha Safir, Nhat Vu, Loza F. Tadesse +7
Identifying pathogens in complex samples such as blood, urine, and wastewater is critical to detect infection and inform optimal treatment. Surface-enhanced Raman spectroscopy (SER…
Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning
Chi-Sing Ho, Neal Jean, Catherine A. Hogan +7
Rapid identification of bacteria is essential to prevent the spread of infectious disease, help combat antimicrobial resistance, and improve patient outcomes. Raman optical spectro…