“Tulane University scientists have developed a new artificial intelligence-based method that more accurately detects genetic markers of antibiotic resistance in Mycobacterium tuberculosis and Staphylococcus aureus — potentially leading to faster and more effective treatments” –bizneworleans.
“We’re essentially teaching a computer to recognize resistance patterns without needing us to point them out first”.