The World Health Organization (WHO) estimates that Tuberculosis (TB) caused 1.5 million deaths in 2018. It’s one of the top ten causes of death worldwide and the leading cause of death from a single infectious agent.
It is estimated that one out of every twenty hospitalized patients will contract an HAI. These infections are a significant cause of illness and mortality, and are the source of serious economic consequences for the US health system each year.
Researchers from MIT and Harvard developed a new approach to antibiotic discovery using a type of artificial AI called deep learning. So far, their model has identified eight antibacterial compounds that differ in structure from known antibiotics.