Exai Bio today announced non-small cell lung cancer (NSCLC) data further validating that its novel RNA- and generative AI-based liquid biopsy platform detected early-stage disease with high accuracy. The study of nearly 900 subjects demonstrated stage I sensitivity was 95% at 90% specificity. The use of Exai’s proprietary generative AI technology, derived from large independent datasets of tumor and blood samples, enhanced both sensitivity and specificity beyond what is achievable using standard machine learning techniques. The high detection of stage I tumors could have major clinical implications to enable earlier disease detection at initial diagnosis as well as molecular residual disease (MRD) monitoring.
Exai technology is founded on the work of UCSF professor Hani Goodarzi, PhD.