The Blue Box, a home testing kit for breast cancer, has won the first prize in the international James Dyson Award, which means a 30,000 pound (33,730 euro) cash windfall for the 23-year-old Spanish developer, according to a BBC News report.
Designed by Judit Giró Benet, the device performs chemical analysis of urine samples and sends the results for testing. An artificial intelligence (AI)-based algorithm reacts to specific metabolites in the urine, which then provides the user with a fast diagnosis. Because the Blue Box is connected to a smartphone app, test takers can be put into contact with a medical professional if they test positive for breast cancer.
Judit Giró Benet holding the Blue Box. Image courtesy of Dyson.Along with her colleagues, Benet will develop prototypes and data analytics software at the University of California, Irvine, U.S. Before hitting the retail market, the device will require rigorous trials and approvals.
![A normal mammogram confirmed by three-year radiologic follow-up illustrates reader-marked regions of interest (ROIs) during (A) unaided (round 1) and (B) artificial intelligence (AI)–assisted (round 2) reading. Each colored dot represents an ROI for recall by a human reader. Readers could mark more than one ROI per case, represented by multiple dots of the same color. During AI-assisted reading, the AI system displayed three visible prompts: two with suspicion of malignancy scores of 35% (left mediolateral oblique [L MLO] and craniocaudal [L CC]) and one with a suspicion of malignancy score of 10% (right craniocaudal [R CC]), shown as polygonal overlays. Without AI, six of 10 readers (60%) marked a false-positive ROI. With AI assistance, this fell to two of 10 (20%). R MLO = right mediolateral oblique.](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/07/2026-07-14-radiology-mammogram-ai-auto-bias.H0bYO8QlWs.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
