Výsledky vyhledávání - "Banaei, Niaz"

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A Novel Framework for the Automated Characterization of Gram-Stained Blood Culture Slides Using a Large-Scale Vision Transformer

Autor: McMahon, Jack, Tomita, Naofumi, Tatishev, Elizabeth S., Workman, Adrienne A., Costales, Cristina R, Banaei, Niaz, Martin, Isabella W., Hassanpour, Saeed

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 bloodstream infections, Gram stains provide critical early data to inform patien

Externí odkaz: http://arxiv.org/abs/2409.15546

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Rapid, antibiotic incubation-free determination of tuberculosis drug resistance using machine learning and Raman spectroscopy

Autor: Ogunlade, Babatunde, Tadesse, Loza F., Li, Hongquan, Vu, Nhat, Banaei, Niaz, Barczak, Amy K., Saleh, Amr. A. E., Prakash, Manu, Dionne, Jennifer A.

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, Mycobacterium tuberculosis (Mtb) can take nearly 40 days to culture, a required

Externí odkaz: http://arxiv.org/abs/2306.05653

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Combining acoustic bioprinting with AI-assisted Raman spectroscopy for high-throughput identification of bacteria in blood

Autor: Safir, Fareeha, Vu, Nhat, Tadesse, Loza F., Firouzi, Kamyar, Banaei, Niaz, Jeffrey, Stefanie S., Saleh, Amr A. E., Butrus, Khuri-Yakub, Dionne, Jennifer A.

Identifying pathogens in complex samples such as blood, urine, and wastewater is critical to detect infection and inform optimal treatment. Surface-enhanced Raman spectroscopy (SERS) and machine learning (ML) can distinguish among multiple pathogen s

Externí odkaz: http://arxiv.org/abs/2206.09304

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Akademický článek

High-resolution 3D spatial distribution of complex microbial colonies revealed by mass spectrometry imaging

Autor: Shen, Yuting, Wang, Yisu, Wang, Jianing, Xie, Peisi, Xie, Chengyi, Chen, Yanyan, Banaei, Niaz, Ren, Kangning, Cai, Zongwei

Publikováno v: In Journal of Advanced Research August 2024

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Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning

Autor: Ho, Chi-Sing, Jean, Neal, Hogan, Catherine A., Blackmon, Lena, Jeffrey, Stefanie S., Holodniy, Mark, Banaei, Niaz, Saleh, Amr A. E., Ermon, Stefano, Dionne, Jennifer

Publikováno v: Nature Communications 10, 4927 (2019)

Rapid identification of bacteria is essential to prevent the spread of infectious disease, help combat antimicrobial resistance, and improve patient outcomes. Raman optical spectroscopy promises to combine bacterial detection, identification, and ant

Externí odkaz: http://arxiv.org/abs/1901.07666

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