Tag: MALDI-TOF

Machine Learning in predicting antimicrobial resistance (AMR)

Posted on by cloverbio_webadmin

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[…]

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[…]