Enhancing mosquito repellent effectiveness
RIVERSIDE, Calif. -- In a recent study, researcher Anandasankar Ray at the University of California, Riverside, and his team employed machine learning techniques combined with cheminformatics to predict novel mosquito repellents that could greatly improve global mosquito control efforts. Using the same approach to combat the global threat of mosquito-borne diseases such as malaria and dengue, Ray, the recipient of a $2.5 million, five-year grant from the National Institutes of Health, or NIH, will now work on identifying novel spatial mosquito repellents ...





