Tag: Antimicrobial resistance

Mycobacterium abscessus

A Robust Machine Learning Method for Mycobacterium abscessus Typing

Posted on by cloverbio_webadmin

A new machine learning system correctly identifies Mycobacterium abscessus subspecies 97% of the time using MALDI-TOF mass spectra gathered from six European countries. This study is led by E. Padial-Fuillerat and stems from a collaboration between the University of Granada, Hospital Gregorio Marañón and Clover Biosoft. It has been published as open access in the Read more about A Robust Machine Learning Method for <em>Mycobacterium abscessus</em> Typing[…]

LightGBM, A Gradient Boosting Algorithm

Posted on by cloverbio_webadmin

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[…]

Initiatives to fight against antimicrobial resistance

Posted on by cloverbio_webadmin

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[…]