Therapeutic Intelligence via Genialis Supermodel
The Supermodel has been trained to learn ground truth biology, capturing 100s of therapeutically relevant facets of cancer. This approach contrasts with training a model on specific outcomes from limited cohorts, and contrasts with throwing a pile of data into a computer to find unintelligible patterns. Rather, our methods yield highly interpretable outputs, and allow us to support translational and clinical decision making from beginning to end.
Understand your patient and your drug
Genialis Supermodel derives interpretable biological traits from messy transcriptomic data.
These traits are informative on their own, but can also be used in predictive modelling.
Get more with less
Using the Supermodel, integrate and extract value from small datasets prevalent in clinical development.
Benefit from the Supermodel early in the drug’s lifecycle
Generate insights from preclinical sequencing data. Build clinical models before you collect response data.
Integrate the Supermodel into your research workflows
Plug Genialis Supermodel into your software, AI, and data ecosystem. Or complement your research with our team’s expertise.
End to end drug development support
Across early translational stages where only preclinical data are available through late-stage translation and diagnostics.
Therapeutic intelligence via the Genialis Supermodel
Genialis + Diagnostic partner
End to end drug development support
Across early translational stages where only preclinical data are available through late-stage translation and diagnostics.
Therapeutic intelligence via the Genialis Supermodel
Genialis + Diagnostic partner
