Machine learning is a significant component of artificial intelligence (AI), integrated into many fields, including data analytics and technology. The drug discovery and development field has been ...

A recent Nature journal study uses a deep learning approach to explore chemical sub-structures that helped discover structural classes of antibiotics. Study: Discovery of a structural class of ...

A Central Michigan University grad student is studying Mt. Pleasant’s sewage to learn more about Covid and antibiotic resistance. Chris Haupt, a biochemistry and molecular biology graduate student, is ...

Patient education initiatives might help improve antibiotic awareness and support antibiotic resistance strategies but are most effective when they promote engagement and active learning. A ...

Programmable cell‑like particles seek out drug‑resistant bacteria, inject lethal payloads, and spare beneficial microbes.

Deep learning approaches have demonstrated success in identifying potential antibiotics from chemical libraries, but the models used are not explainable and do not provide chemical insight. Now, Wong ...

Antibiotics have changed the world. They've made it possible to treat diseases that used to mean anything from discomfort to death. But no new classes of antibiotics have made it to the market since ...

The confluence of events that have engulfed the discovery, clinical development, and the market for antibiotics over the last two decades is evolving. And not for the better. When I first wrote ...