Machine Learning in predicting antimicrobial resistance (AMR)

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

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

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[…]

Initiatives to fight against antimicrobial resistance

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[…]