Selected category: Malaria

Drug discovery is a lengthy and expensive process, particularly in the early candidate identification stages, where screening of large numbers of compounds is required. Researchers at the University of Central Florida are using artificial intelligence (AI) to aid candidate selection for antimalarial drugs, making this selection process more efficient and cost effective, as well as increasing the likelihood of success.