Author: cloverbio_webadmin

Machine Learning in predicting antimicrobial resistance (AMR)

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Recently, Rui et al. published the journal pre-proof of their review “Machine learning in predicting antimicrobial resistance: a systematic review and meta-analysis” which will be published in the International Journal of Antimicrobial Agents. In their publication they used a substantial amount of literature to review and summarize the most used Machine Learning (ML) algorithms and Read more about Machine Learning in predicting antimicrobial resistance (AMR)[…]

LightGBM, A Gradient Boosting Algorithm

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Clover MS Data Analysis software has been updated recently to v6 version which includes improvements and new features like the implementation of Light Gradient Boosting Machine (LightGBM) algorithm (Figure 1). Let’s see what it is and how it works. Gradient Boosting is a family of Machine Learning algorithms used both in classification and regression tasks Read more about LightGBM, A Gradient Boosting Algorithm[…]

World Antimicrobial Awareness Week

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Between November 18th and 24th, the World Health Organization – with its slogan Antimicrobials: Handle with care – will promote and raise awareness about the correct use of antimicrobials, highlighting that they are a precious resource and should be used prudently. As a company that fights against Antimicrobial Resistance, at Clover Biosoft we support this Read more about World Antimicrobial Awareness Week[…]

Water treatment plants and water purifiers, a nest for super bacteria

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A recent article published by elDiario.es focuses on a problem that has been raising concern in specialized biomedical circles since some time ago. This is the increasing resistance of bacteria to antibiotics, and issue of great concern to our company Clover BioSoft. Although known for a long time, this problem has been alarmingly increasing since Read more about Water treatment plants and water purifiers, a nest for super bacteria[…]

Detection of azole resistance in Aspergillus fumigatus complex isolates using MALDI-TOF mass spectrometry

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Authors: Margarita Estreya Zvezdanova, Manuel J. Arroyo, Gema Méndez, Ana Candela, Luis Mancera, Julio García Rodríguez, Julia Lozano Serra, Rosa Jiménez, Inmaculada Lozano, Carmen Castro, Concepción López, Patricia Muñoz, Jesús Guinea, Pilar Escribano, and Belén Rodríguez-Sánchez on behalf of the ASPEIN group DOI: https://doi.org/10.1016/j.cmi.2021.06.005 The Aspergillus fumigatus complex is the main etiological agent of the Read more about Detection of azole resistance in Aspergillus fumigatus complex isolates using MALDI-TOF mass spectrometry[…]

An improved MALDI-TOF MS data analysis pipeline for the identification of carbapenemase-producing Klebsiella pneumoniae

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Authors: Eva Gato, Ignacio Pedro Constanso, Ana Candela, Fátima Galán, Bruno Kotska Rodiño-Janeiro, Manuel J. Arroyo, Gema Méndez, Luis Mancera, Tyler Alioto, Marta Gut, Ivo Gut, Miguel Álvarez-Tejado, Belén Rodríguez-Sánchez, Germán Bou, Marina Oviaño DOI: 10.1128/JCM.00800-21 We present the latest published paper at JCM as a result of our collaboration with Microbiology Service from Hospital Read more about An improved MALDI-TOF MS data analysis pipeline for the identification of carbapenemase-producing Klebsiella pneumoniae[…]

Implementation of MALDI-TOF Mass Spectrometry and Peak Analysis: Application to the Discrimination of Cryptococcus neoformans Species Complex and their Interspecies Hybrids

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Author: Manuel J. Arroyo Pulgar Abstract: Matrix-Assisted Laser Desorption/Ionization Time-Of-Flight Mass Spectrometry (MALDI-TOF MS) has been widely implemented for the rapid identification of microorganisms. Although most bacteria, yeasts and filamentous fungi can be accurately identified with this method, some closely related species still represent a challenge for MALDI-TOF MS. In this study, two MALDI-TOF based Read more about Implementation of MALDI-TOF Mass Spectrometry and Peak Analysis: Application to the Discrimination of Cryptococcus neoformans Species Complex and their Interspecies Hybrids[…]

Initiatives to fight against antimicrobial resistance

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Author: Verónica Sánchez Mercado As we know, antibiotics are medicines used to prevent and treat bacterial infections in humans and animals and resistance mechanisms occur when bacteria change in response to the use of these medicines. Antimicrobial resistance (AMR) is one of the biggest threats to global health. Nowadays, a growing number of infections are Read more about Initiatives to fight against antimicrobial resistance[…]

MALDI-TOF MS: A technology beyond bacterial analysis and biotyping

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Author: Manuel J. Arroyo Pulgar At Clover Biosoft, we develop methods to identify and classify resistant microorganisms reducing time to result and cost of other methods and reagents. But our technology can go much beyond that. One of the advantages of mass spectrometry technology is its versatility, which can be used in many research fields, Read more about MALDI-TOF MS: A technology beyond bacterial analysis and biotyping[…]

New machine learning model leads to the discovery of powerful antibiotics

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Author: Manuel J. Arroyo Pulgar Using a machine-learning algorithm, MIT researchers have identified a powerful new antibiotic compound. In laboratory preliminary test, the drug killed many of the world’s most problematic disease-causing bacteria, including Acinetobacter baumannii and Enterobacteriaceae. To understand the relevance of such discovery, these bacteria are two of three high-priority pathogens that the Read more about New machine learning model leads to the discovery of powerful antibiotics[…]