Each piece of data contributes to a larger epidemiological picture that will not only help us fight new coronaviruses that emerge in the future, but other infectious diseases as well.
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.
Infectious disease outbreaks can spread quickly due to the cosmopolitan nature of the world, especially within disadvantaged subpopulations. By attending to social justice and reducing healthcare inequalities, we can help prevent the spread of infectious disease epidemics and reduce the burden of infection globally.
Given the dependence of modern medicine on antimicrobial drugs, and the inevitability of evolution, why is bringing a new antibiotic to market so difficult, and why are so many companies leaving the industry or going bankrupt?