Artificial Intelligence
Artificial Intelligence at the Molecular Level
Caris Life Sciences has built one of the largest, multi-modal databases of combined molecular and clinical outcomes data in the world and has deployed highly sophisticated AI bioinformatics and machine learning capabilities on this massive database to create novel, clinically relevant solutions to classify cancer at the molecular level and predict patient response in ways never before possible.
“Caris FOLFIRSTai, the world’s first fully validated AI-based treatment algorithm for mCRC, helps physicians better determine the relative benefits a patient will receive from the FOLFOX chemotherapy regimen and improve clinical outcomes. Precision medicine powered by AI has enormous potential in cancer profiling, as well as other areas of medicine.”
—David Spetzler, MS, MBA, PhD, President
What is Molecular Artificial Intelligence?
The precision medicine era has arrived, and molecular profiling has become standard of care for many cancer types. Machine learning and artificial intelligence tools are critical in helping physicians navigate these data-dense resources to make the best decision for each patient.
Driving Molecular Science Innovation
748,000+
Cases
6.5+ Million
Tests
38+ Billion
Molecular Markers Measured
Powering Molecular AI with CarisDEAN
CarisDEAN (Deliberation Analytics) powers many of our 200+ AI-powered tools. DEAN learns from deidentified patient data, including biomarker, treatment and outcomes cohorts, using non-linear feature selection to find relevant associations in our vast mutli-modal database to provide deeper insights and exclusive analysis and interpretation in ways never before possible. DEAN has led to the development of Caris FOLFRISTai and Caris GPSai.
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Caris is actively delivering on the promise of precision medicine and our pipeline reflects our future tests and molecular science-based solutions to help patients and improve the human condition.
Caris Life Sciences contributes to the body of research in oncology to advance the understanding of molecular science and further enable the delivery of precision medicine.