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[…]

New machine learning model leads to the discovery of powerful antibiotics

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[…]