A Robust Machine Learning Method for Mycobacterium abscessus Typing
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[…]


