The Michigan Engineer News Center

Deep learning AI discovers surprising new antibiotics

Deep-learning AI will help keep us ahead of drug resistant pathogens.| Short Read

By Sriram Chandrasekaran

Imagine you’re a fossil hunter. You spend months in the heat of Arizona digging up bones only to find that what you’ve uncovered is from a previously discovered dinosaur.

That’s how the search for antibiotics has panned out recently. The relatively few antibiotic hunters out there keep finding the same types of antibiotics.

With the rapid rise in drug resistance in many pathogens, new antibiotics are desperately needed. It may be only a matter of time before a wound or scratch becomes life-threatening. Yet few new antibiotics have entered the market of late, and even these are just minor variants of old antibiotics.

This article is republished from The Conversation. Read the original article.

Portrait of Jim Lynch.

Contact

James Lynch
Research News & Feature Writer

Michigan Engineering
Communications & Marketing

(734) 763-1652

3214 SI-North

Researchers
Jay Guo holds a sheet of flexible transparent conductor on the University of Michigan’s College of Engineering North Campus. The material sandwiches a thin layer of silver between two “dielectric” materials, aluminum oxide and zinc oxide, producing a conductive anti-reflection coating on the sheet of plastic.

Making plastic more transparent while also adding electrical conductivity

Michigan Engineers change the game by making a conductive coating that’s also anti-reflective. | Medium Read