Scientists Unlock the Power of Machine Learning to Discover a New Antimalarial Drug
Scientists have recently made a remarkable breakthrough in the fight against Malaria, with the discovery of a machine-based approach to identify new antimalarial drugs. In a study published in the prestigious journal Nature, a team of researchers from the University of Melbourne and the Walter and Eliza Hall Institute of Medical Research, have developed a new type of machine learning algorithm that can rapidly screen millions of compounds for new antimalarial drugs. This is the first time a machine-based approach has been applied to the discovery of antimalarial drugs, and it has already proven to be remarkably effective. The algorithm was able to identify several compounds with potential antimalarial activity, some of which had never been identified before. This groundbreaking discovery could revolutionize the way antimalarial drugs are discovered in the future.
source: Phys.org