Israeli scientists develop method to predict risk of contracting TB

JERUSALEM, July 22 (Xinhua) – Israeli scientists have developed an algorithm to predict the risk of contracting tuberculosis and other infectious diseases, according to a study released Monday by the Weizmann Institute of Science.

The study, published in the journal Nature Communications, is based on the examination of the initial encounter of a bacterium with the immune system, which could lead to the onset of a disease even several years later.

The scientists first tested real encounters between immune cells and bacteria, using blood samples containing immune cells and salmonella bacteria.

Then, they developed an algorithm based on the database created by the meetings, which allows to know not only the composition of the cells, but also their level of activation and their reaction potential.

The team then asked if the algorithm could be used to diagnose the onset of tuberculosis, which is caused by a bacterium that often chooses dormancy for years in the body.

It has been found that activity levels of monocyte immune cells could be used to predict the onset or progression of the disease. Enditem

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