FastUKB is an innovative data analysis tool tailored for medical researchers, streamlining access, extraction, and analysis of UK Biobank (UKB) data—the world’s largest biomedical database with health records of over 500,000 British individuals and 10,000+ complex variables. It solves key challenges: UKB’s intricate structure, technical barriers from traditional SQL/Python extraction (difficult for non-coders), and RAP Queue Browser’s 30-variable per-operation limit. Boasting an intuitive interface, efficient batch extraction, and intelligent analysis, it lowers technical hurdles, letting clinicians/researchers easily derive insights. Deployable locally and linked to UKB-RAP, it processes diverse data, accelerating research from raw data to publication.

Using artificial intelligence, MIT researchers can design nanoparticles that more efficiently deliver RNA vaccines and other types of RNA therapies. This approach could dramatically speed the process of developing new RNA vaccines, as well as RNA therapies that could be used to treat obesity, diabetes, and other metabolic disorders.