Redefining cancer with AI to generate precision immunotherapies

Reductionism fails to capture the emergent complexity of tumor-immune interactions

Machine learning adds that complexity back into drug discovery

Noetik combines self-supervised learning with the industrial-scale generation of human multimodal data

— because the best model system for cancer is the patient

This enables the creation of foundation models for cell and tissue biology that drive therapeutic development

— we’re entering a new era of self-supervised science

We're building toward a future of precision immunotherapies that begin with the patient

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