Rapid detection of Pseudomonas aeruginosa based on lab-on-a-chip platform using immunomagnetic separation, light scattering, and machine learning

Application of adaptive pressure-driven microfluidic chip in thyroid function measurement

(2021) Xingshang Xu et al.   CHINESE CHEMICAL LETTERS

Human sensor-inspired supervised machine learning of smartphone-based paper microfluidic analysis for bacterial species classification

(2021) Sangsik Kim et al.   BIOSENSORS & BIOELECTRONICS

Adaptive thresholding technique based classification of red blood cell and sickle cell using Naïve Bayes Classifier and K-nearest neighbor classifier

(2021) Chayashree Patgiri et al.   Biomedical Signal Processing and Control

On-chip classification of micro-particles using laser light scattering and machine learning

(2021) Mubashir Hussain et al.   CHINESE CHEMICAL LETTERS

EEG signal analysis using classification techniques: Logistic regression, artificial neural networks, support vector machines, and convolutional neural networks

(2021) Maria Camila Guerrero et al.   Heliyon

Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics

(2020) Ariane Khaledi et al.   EMBO Molecular Medicine

Rapid and label-free classification of pathogens based on light scattering, reduced power spectral features and support vector machine

(2020) Mubashir Hussain et al.   CHINESE CHEMICAL LETTERS

Design of Rapid Bacterial Identification System Based on Scattering of Laser Light and Classification of Binned Plots

(2020) Mubashir Hussain et al.   JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY

Antimicrobial Activity of Ceftazidime-Avibactam, Ceftolozane-Tazobactam and Comparators Tested Against Pseudomonas aeruginosa and Klebsiella pneumoniae Isolates from United States Medical Centers in 2016–2018

(2020) Helio S. Sader et al.   Microbial Drug Resistance

Applications of fiber-optic biochemical sensor in microfluidic chips: A review

(2020) Yong Zhao et al.   BIOSENSORS & BIOELECTRONICS

Rapid Detection of Pseudomonas aeruginosa Biofilms via Enzymatic Liquefaction of Respiratory Samples

(2020) Antonio Clemente et al.   ACS Sensors

Methodology and applications of elemental mapping by laser induced breakdown spectroscopy

(2020) A. Limbeck et al.   ANALYTICA CHIMICA ACTA

Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit

(2019) Liao et al.   SENSORS

Rapid, quantitative determination of aggregation and particle formation for antibody drug conjugate therapeutics with label-free Raman spectroscopy

(2019) Chi Zhang et al.   ANALYTICA CHIMICA ACTA

Imitation of drug metabolism in cell co-culture microcapsule model using a microfluidic chip platform coupled to mass spectrometry

(2019) Yajing Zheng et al.   CHINESE CHEMICAL LETTERS

Detection of Pseudomonas aeruginosa in the Skin by Immunomagnetic Isolation and Real-Time Quantitative PCR

(2019) Daoqing Zhong et al.   JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY

Rapid Colorimetric Detection of Pseudomonas aeruginosa in Clinical Isolates Using a Magnetic Nanoparticle Biosensor

(2019) Sahar Alhogail et al.   ACS Omega

Designing high-resolution time–frequency and time–scale distributions for the analysis and classification of non-stationary signals: a tutorial review with a comparison of features performance

(2018) Boualem Boashash et al.   DIGITAL SIGNAL PROCESSING

A Portable Multi-Channel Turbidity System for Rapid Detection of Pathogens by Loop-Mediated Isothermal Amplification

(2018) Zhu Chen et al.   Journal of Biomedical Nanotechnology

Conventional and Emerging Detection Techniques for Pathogenic Bacteria in Food Science: A Review

(2018) Saima Hameed et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Antibiotic resistance in Pseudomonas aeruginosa: mechanisms and alternative therapeutic strategies

(2018) Zheng Pang et al.   BIOTECHNOLOGY ADVANCES

Simple and rapid detection of microplastics in seawater using hyperspectral imaging technology

(2018) Jiajia Shan et al.   ANALYTICA CHIMICA ACTA

Performance evaluation of time-frequency image feature sets for improved classification and analysis of non-stationary signals: Application to newborn EEG seizure detection

(2017) Boualem Boashash et al.   KNOWLEDGE-BASED SYSTEMS

Detection methods for Pseudomonas aeruginosa: history and future perspective

(2017) Yongjun Tang et al.   RSC Advances

A review of the applications of data mining and machine learning for the prediction of biomedical properties of nanoparticles

(2016) David E. Jones et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Prevalence of Pseudomonas aeruginosa and antimicrobial-resistant Pseudomonas aeruginosa in patients with pneumonia in mainland China: a systematic review and meta-analysis

(2016) Chengyi Ding et al.   INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Standardized methods to generate mock (spiked) clinical specimens by spiking blood or plasma with cultured pathogens

(2016) M. Dong et al.   JOURNAL OF APPLIED MICROBIOLOGY

Novel Strategies for the Treatment of Pseudomonas aeruginosa Infections

(2016) Stefanie Wagner et al.   JOURNAL OF MEDICINAL CHEMISTRY

Detection and imaging of quorum sensing in Pseudomonas aeruginosa biofilm communities by surface-enhanced resonance Raman scattering

(2016) Gustavo Bodelón et al.   NATURE MATERIALS

Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features

(2014) Rami N. Khushaba et al.   NEURAL NETWORKS

Impact of multidrug-resistantPseudomonas aeruginosainfection on patient outcomes

(2010) Elizabeth B Hirsch et al.   Expert Review of Pharmacoeconomics & Outcomes Research