Proof in the science.
Ozette’s technology — and the FAUST algorithm that preceded it — has powered discoveries published in Cell Patterns, Nature, and Science. Each of these studies started with complex single-cell data that conventional, manual analysis could not fully resolve.
Going beneath the surface of skin cancer.
We investigated our AI’s ability to predict treatment response to PD-1–inhibiting immunotherapy in Merkel cell carcinoma and melanoma, benchmarking the algorithmic approach against conventional analysis.
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Computationally-driven analysis aids advancement of cancer drug development.
Ozette’s technology, in conjunction with other new methods, reveals a distinct T-cell population that suppresses immune effectiveness in the tumor microenvironment.
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Ozette’s AI in the battle against COVID-19.
In-depth immune profiling reveals a T-regulatory signature that correlates with COVID-19 disease severity, a potential target for treatment strategies.
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See what unbiased, reproducible cytometry analysis looks like on your own data.