Case Studies

More data for rare disease detection

UCL rare disease research teams have an ongoing race against time to predict and trace disease path for rare diseases in children from a small cohort of medical images and blood samples.

Zero2AI is engaged to create the framework and AI techniques that take a small set of labelled samples and create a large set of images that is indistinguishable by experts. The larger dataset is then used for downstream AI for disease prediction.

Expected Research Accelaration

300%

Expected Accuracy Outcomes

80%

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Why Choose Us

Zero2AI USP-

Experts in delivering AI in air-gapped, rugged, and edge form factors
Track records in Defence, Banking, Pharma, Government & Energy Sectors.
Exclusive technology sharing with Zero2AI Inc; - patents, Computer Vision, Web3, and Enterprise Generative AI
Multidisciplinary team - AI scientists | Army veterans | Business leaders
Product market-fit in place – early adopters committed
Base GenAI + Vision Inference + geo-spatial AI database reduces time to solution