Developing a new antibiotic can take as long as 15 years. But in as few as two, the target bug can develop resistance to it. Jon Stokes, Ph.D., a professor from Canada’s McMaster University, sees a world where antibiotics get to patients more quickly—with a little help from artificial intelligence.

“I think that [AI models], when appropriately trained and leveraged for various prediction tasks, can help increase the rate at which we discover new candidates for drug development,” Stokes told Fierce Biotech Research…

Read the full article in Fierce Biotech.