AI model enhances detection of antibiotic resistance in deadly bacteria

Drug-resistant infections – especially from deadly bacteria like tuberculosis and staph – are a growing global health crisis. These infections are harder to treat, often require more expensive or toxic medications and are responsible for longer hospital stays and higher mortality rates. In 2021 alone, 450,000 people developed multidrug-resistant tuberculosis, with treatment success rates dropping to just 57%, according to the World Health Organization.

Now, Tulane University…