Mentioned in 3 AI use cases across 2 industries
This is like giving oncologists a super-assistant that can read many different kinds of medical information at once—genomic profiles, imaging, lab results, and clinical notes—and then suggest patterns, risks, and treatment options that would be hard for any one human to spot alone.
Think of this as an AI co-pilot for genetic testing labs and clinicians: it reads huge DNA files, compares them to medical and genomic knowledge, and highlights which genetic changes are likely to matter for a patient’s disease and treatment options.