"Oh my god, this is amazing", Immunotherapy CEO after seeing Artificial Immunologist in action.
Teiko today announced a major expansion of its AI assistant, now called the Artificial Immunologist, across all eight analysis pages in its clinical trial analytics platform. The update adds a persistent chat interface, natural language plot configuration, and one-click suggested next steps.
Eliminating the Expertise Bottleneck
Translational scientists waste millions of dollars on flow cytometry datasets that sit idle on hard drives. The critical insights from these datasets are never extracted. This leads to wasted patient enrollment fees and delayed drug development decisions.
Why? It's because interpreting flow cytometry datais a dark, arcane art, reserved for those with deep immunology expertise. But what about the rest of us? Drug developers are experts in their drugs, not necessarily each immune subset. As a result, teams wait weeks for expert consultations (or never get around to it, more likely).
The Artificial Immunologist solves this by embedding immunology expertise directly into the analysis workflow. Scientists receive context-aware explanations without leaving their current view. No separate tools. No context switching. No waiting for expert consultations.
The assistant uses language simple enough for scientists without an immunology degree, as well as investors, regulators, and principal investigators.
How It Works
The AI assistant appears on pages spanning the entire platform:
Each page receives customized intelligence. The assistant knows whether you are viewing a sample similarity plot or a heatmap. It knows which markers were measured in your panel. It knows which treatment groups exist in your cohort.
When a scientist asks "why does this matter?" about CD8+ T cells on the Immune Changes page, the assistant explains the biological significance for their specific clinical indication. When they ask "show me exhausted T cells" on the marker expression heatmap, it filters to PD1, CTLA4, and TIGIT markers and explains what high expression means for treatment response.
Simple words, not immunology speak!
The assistant translates technical concepts into accessible language. It doesn't use terms like "dimensionality reduction" or "arcsinh transformation." Instead, it says "sample differences" and "expression levels."
Natural language plot configuration
Scientists can configure visualizations through conversation. A request like "compare CD4 and CD8 T cells across timepoints" automatically selects the correct cell types, endpoints, and visualization mode. The system verifies all selections against available data to prevent invalid configurations.
Suggested next steps
After analyzing data, the assistant recommends specific follow-up visualizations. Suggestions include exact filter configurations and sorting options that scientists can apply with one click. This guides exploration without requiring scientists to remember panel markers or available grouping variables.
Chat interface with context
A persistent chat sidebar maintains conversation history across pages. Scientists can ask follow-up questions and reference previous exchanges. The assistant remembers the current page context and adjusts responses accordingly.
What customers are saying
A senior scientist at a $10B+ publicly traded pharmaceutical company said: "Loved top 100 stats AND [artificial] immunologist interpretation. Read it word for word." This customer is converting their entire cytometry workflow to Teiko based partly on this feature.
Availability
The Artificial Immunologist is available now to all platform users. The feature requires no additional setup or training. Scientists access it through a button in the top navigation bar on every analysis page.
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