Summary
Used artificial intelligence to analyze multiomics blood data for early cancer detection. Integrated genomic, proteomic, and epigenetic signals to identify disease at more treatable stages. Aimed to make screening less invasive and more accessible through standard blood draws. Supported scalable, multi-cancer detection within clinical and regulatory frameworks.