A study published in Nature Biomedical Engineering presented a new blood test combining nanotechnology with artificial intelligence to diagnose TB in children in instances when the disease might otherwise go undetected.
In a study published in Cell Reports Medicine, researchers used machine learning to design a data-driven solution for a faster, more effective way to identify potential new drug combinations to better treat TB.
An analysis published in JAMA Infectious Diseases found that patients with pulmonary TB were able to improve their quality of life while reducing the monumental costs that come with the disease by utilizing a digital medication event reminder monitor.
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