MIT researchers have used a form of artificial intelligence called deep learning to identify a new classification of compounds that can effectively kill methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium accountable for over 10,000 deaths in the US each year. The researchers have demonstrated that these deep-learning-identified compounds not only have the ability to kill…
MIT researchers have utilized deep learning, a form of artificial intelligence, to discover a series of compounds capable of killing a drug-resistant bacterium responsible for over 10,000 deaths in the United States annually. The research, published in Nature, demonstrates these compounds can kill methicillin-resistant Staphylococcus aureus (MRSA) in lab dishes and two mouse models. Apart…
MIT scientists have used a form of artificial intelligence (AI) known as deep learning to identify compounds that can eradicate a drug-resistant bacterium linked to over 10,000 annual deaths in the US. The researchers showed that the compounds can eliminate methicillin-resistant Staphylococcus aureus (MRSA) in lab and mouse models, with very low toxicity against human…
Researchers from MIT have identified a new class of antibiotics that could potentially target Methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium accountable for over 10,000 deaths in the US annually. A significant contribution of the study is the understanding of the deep learning model that predicts antibiotic potency. The insights gained could aid in designing…
Researchers from MIT have developed artificial intelligence (AI)-enabled compounds that effectively combat Methicillin-resistant Staphylococcus aureus (MRSA), a drug-resistant bacterium that causes over 10,000 deaths annually in the US, according to a study published in Nature. Utilising deep learning, a form of AI, the researchers were able to identify features that would enable the compounds to…