“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”.
“By integrating artificial intelligence with cutting-edge chemistry and biology, we can dramatically accelerate drug discovery and develop new treatments for some of the most complex and pressing diseases.” – News Medical.
“Unlike conventional drug discovery, which can take years and cost billions, AI-driven approaches enable researchers to rapidly navigate a vast chemical landscape to pinpoint promising drug candidates—bringing treatments to patients faster.”