Detection of extended-spectrum β-lactamase-producing bacteria isolated directly from urine by infrared spectroscopy and machine learning.

[1]  I. Lapidot,et al.  Culture-independent susceptibility determination of E. coli isolated directly from patients' urine using FTIR and machine-learning. , 2022, The Analyst.

[2]  I. Lapidot,et al.  Fast identification and susceptibility determination of E. coli isolated directly from patients' urine using infrared-spectroscopy and machine learning. , 2022, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[3]  H. Ibrahim,et al.  Study of antibiotic sensitivity pattern in urinary tract infection , 2022, International journal of health sciences.

[4]  I. Lapidot,et al.  Determination of Klebsiella pneumoniae Susceptibility to Antibiotics Using Infrared Microscopy. , 2021, Analytical chemistry.

[5]  G. Kang,et al.  Leveraging Vaccines to Reduce Antibiotic Use and Prevent Antimicrobial Resistance: A World Health Organization Action Framework , 2021, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[6]  I. Lapidot,et al.  Rapid detection of Klebsiella pneumoniae producing extended spectrum β lactamase enzymes by infrared microspectroscopy and machine learning algorithms. , 2021, The Analyst.

[7]  J. Thaden,et al.  The Diversity of Lipopolysaccharide (O) and Capsular Polysaccharide (K) Antigens of Invasive Klebsiella pneumoniae in a Multi-Country Collection , 2020, Frontiers in Microbiology.

[8]  I. Bigio,et al.  Fast and reliable determination of Escherichia coli susceptibility to antibiotics: Infrared microscopy in tandem with machine learning algorithms , 2019, Journal of biophotonics.

[9]  I. Lapidot,et al.  Detection of Extended-Spectrum β-Lactamase-Producing Escherichia coli Using Infrared Microscopy and Machine-Learning Algorithms. , 2019, Analytical chemistry.

[10]  Stefano Ermon,et al.  Rapid identification of pathogenic bacteria using Raman spectroscopy and deep learning , 2019, Nature Communications.

[11]  A. Wang,et al.  Noninvasive diagnostic imaging using machine-learning analysis of nanoresolution images of cell surfaces: Detection of bladder cancer , 2018, Proceedings of the National Academy of Sciences.

[12]  Vatsal Patel,et al.  A Review on Random Forest: An Ensemble Classifier , 2018, International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI) 2018.

[13]  I. Lapidot,et al.  Differentiation of mixed soil-borne fungi in the genus level using infrared spectroscopy and multivariate analysis. , 2018, Journal of photochemistry and photobiology. B, Biology.

[14]  I. Bigio,et al.  Using Infrared Spectroscopy and Multivariate Analysis to Detect Antibiotics' Resistant Escherichia coli Bacteria. , 2017, Analytical chemistry.

[15]  Naifu Jin,et al.  Fingerprinting microbiomes towards screening for microbial antibiotic resistance. , 2017, Integrative biology : quantitative biosciences from nano to macro.

[16]  A. Pantosti,et al.  Antimicrobial resistance: a global multifaceted phenomenon , 2015, Pathogens and global health.

[17]  S. Hultgren,et al.  Urinary tract infections: epidemiology, mechanisms of infection and treatment options , 2015, Nature Reviews Microbiology.

[18]  Marc Mendelson,et al.  The World Health Organization Global Action Plan for antimicrobial resistance. , 2015, South African medical journal = Suid-Afrikaanse tydskrif vir geneeskunde.

[19]  Rohit Bhargava,et al.  Using Fourier transform IR spectroscopy to analyze biological materials , 2014, Nature Protocols.

[20]  Ljubomir J. Buturovic,et al.  Cross-validation pitfalls when selecting and assessing regression and classification models , 2014, Journal of Cheminformatics.

[21]  J. Odda,et al.  Antibiotics/antibacterial drug use, their marketing and promotion during the post-antibiotic golden age and their role in emergence of bacterial resistance , 2014 .

[22]  T. Hoffmann,et al.  The antibiotic crisis: charting Australia's path towards least resistance , 2013, Australian and New Zealand journal of public health.

[23]  A. Shah Tackling the crisis of antibiotic resistance , 2013, South Asian Journal of Cancer.

[24]  R. Daniels Antibiotic resistance: a crisis in the making. , 2012, Emergency nurse : the journal of the RCN Accident and Emergency Nursing Association.

[25]  Mark R Riley,et al.  Detection and quantification of poliovirus infection using FTIR spectroscopy and cell culture , 2011, Journal of biological engineering.

[26]  T. Gottlieb,et al.  Antibiotic resistance is an emerging threat to public health: an urgent call to action at the Antimicrobial Resistance Summit 2011 , 2011, The Medical journal of Australia.

[27]  S. Mordechai,et al.  Early detection of premalignant changes in cell cultures using light-induced fluorescence spectroscopy , 2009, European Biophysics Journal.

[28]  A. So,et al.  Meeting the challenge of antibiotic resistance , 2008, BMJ : British Medical Journal.

[29]  Peter Lasch,et al.  Analytical applications of Fourier transform-infrared (FT-IR) spectroscopy in microbiology and prion research. , 2007, Veterinary microbiology.

[30]  Ranjit K Sahu,et al.  Early spectral changes of cellular malignant transformation using Fourier transform infrared microspectroscopy. , 2007, Journal of biomedical optics.

[31]  J. Gore,et al.  Detection of Escherichia coli O157:H7 and Salmonella typhimurium using filtration followed by Fourier-transform infrared spectroscopy. , 2006, Journal of food protection.

[32]  N. Woodford,et al.  Molecular detection of antibiotic resistance: when and where? , 2005, The Journal of antimicrobial chemotherapy.

[33]  R. Krska,et al.  Development of a method for the determination of Fusarium fungi on corn using mid-infrared spectroscopy with attenuated total reflection and chemometrics. , 2003, Analytical chemistry.

[34]  D. Naumann,et al.  Identification of medically relevant microorganisms by vibrational spectroscopy. , 2002, Journal of microbiological methods.

[35]  L. Breiman Random Forests , 2001, Encyclopedia of Machine Learning and Data Mining.

[36]  Ronald N. Jones,et al.  Resistance patterns among nosocomial pathogens: trends over the past few years. , 2001, Chest.

[37]  Frank R. Burden,et al.  An Investigation into FTIR Spectroscopy as a Biodiagnostic Tool for Cervical Cancer , 1998 .

[38]  G. Jacoby,et al.  Detection of extended-spectrum beta-lactamases in clinical isolates of Klebsiella pneumoniae and Escherichia coli , 1996, Journal of clinical microbiology.

[39]  J. Davies,et al.  Origins and Evolution of Antibiotic Resistance , 1996, Microbiology and Molecular Biology Reviews.

[40]  G. Doern,et al.  Clinical impact of rapid in vitro susceptibility testing and bacterial identification , 1994, Journal of clinical microbiology.

[41]  M. Ferraro,et al.  Detection of penicillin and extended-spectrum cephalosporin resistance among Streptococcus pneumoniae clinical isolates by use of the E test , 1994, Journal of clinical microbiology.

[42]  H. Neu,et al.  The Crisis in Antibiotic Resistance , 1992, Science.

[43]  Harald Labischinski,et al.  Microbiological characterizations by FT-IR spectroscopy , 1991, Nature.

[44]  A. Bauer,et al.  Antibiotic susceptibility testing by a standardized single disk method. , 1966, American journal of clinical pathology.

[45]  P. Kabler,et al.  BACTERIAL IDENTIFICATION BY INFRARED SPECTROPHOTOMETRY , 1956, Journal of bacteriology.

[46]  M. Kamal,et al.  Antibiotic resistance and extended spectrum beta-lactamases: Types, epidemiology and treatment. , 2015, Saudi journal of biological sciences.

[47]  J. Schmitt,et al.  Differentiation of Listeria monocytogenes Serovars by Using Artificial Neural Network Analysis of Fourier-Transformed Infrared Spectra , 2006, Applied and Environmental Microbiology.

[48]  S. Sakallah,et al.  Molecular diagnostics of infectious diseases: state of the technology. , 2000, Biotechnology annual review.

[49]  W. Stamm,et al.  Urinary tract infection , 2010 .

[50]  C. O'callaghan,et al.  beta-lactam antibiotics. , 1979, Giornale italiano di chemioterapia.

[51]  W. Press,et al.  Savitzky-Golay Smoothing Filters , 2022 .