UC San Diego, Human Vaccines Project Harness Advances in Machine Learning - DATAVERSITY

The release goes on, "Under a scientific plan endorsed by 35 of the world's leading vaccine scientists, the Project aims to apply recent advances in machine learning and data science to speed vaccine development. 'Applying machine learning should accelerate the development of new vaccines and therapies for a wide range of pressing diseases,' said UC San Diego computer scientist and physicist Larry Smarr, director of Calit2. 'In addition to machine learning, experts in Big Data analytics, pattern recognition, genomics and bioinformatics can also help us understand the fundamental principles of effective human immunity, and enable the design of highly-targeted vaccines'."