MIT researchers have used deep learning AI to identify compounds that can kill drug-resistant bacteria, including MRSA. The AI model was trained to identify chemical structures associated with antimicrobial activity, and then used to sift through millions of compounds. The researchers also developed a method to understand how the AI made its predictions, potentially aiding future antibiotic design. The identified compounds showed low toxicity against human cells, making them promising drug candidates.
Read more at MIT News | Massachusetts Institute of Technology…
