Finnish scientists have used machine learning (ML) to predict the risk of becoming a serious and, quite possibly, life-threatening infection from a "hospital bug".

Staphylococcus epidermidis is considered an all-powerful colonizer of healthy human skin, but it is still considered a sadly familiar source of serious infections with the support of internal devices and surgical procedures, these as a hip replacement.

A group of microbiologists and geneticists from the Aalto Institute and the Helsinki Institute, Finland, combined large-scale population genomics and immunologically important individual measurements of these microbes in vitro.

Applying ml, they were able to safely foretell the risk of developing infection from the genomic individuals of bacterial isolate, according to the study posted in the messages of the nature of the magazine.

It has not been known whether all members of the population of the epidermis are ready to cause these infections, or if some of them have an inflated orientation so when they enter or the blood flow of the same solid material.

But, as that scientists, the invention opens the door to future technologies where the highest risk genotypes are identified in a proactive way, when a person is required to undergo a surgical function that contains a sublime potential to reduce the burden of intra-hospital infections caused by S. epidermidis.