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Podcast: How to find the T cells that matter
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What if your next routine blood draw could provide a complete “immune passport”—revealing every vaccine you’ve ever had, every disease you’re currently fighting, and exactly how your body will respond to a new threat?

In this episode of Simon’s Bench Talk, host Samantha sits down with Sander Wuyts, Co-founder and CEO of ImmuneWatch. Moving from a background in microbiome sequencing over to advanced immunology , Sander and his team are closing the functional gap in T-cell sequencing. By applying machine learning algorithms, ImmuneWatch is putting a precise name, function, and meaning onto billions of unique immune cells. We dive deep into how single-cell resolution is transforming phase 1 oncology clinical trials, optimizing personalized cancer vaccines in real time , and shaping the future of pathogen-agnostic pandemic preparedness.

Key Takeaways from This Episode

The Functional Gap: While the scientific community could previously sequence T-cell receptors (TCRs), they often had no idea what they were actually reacting to. ImmuneWatch provides that missing functional layer.

Real-Time Actions: Unlike the microbiome, the immune system reacts instantly. Measuring immune responses from simple blood draws offers highly direct and actionable clinical insights.

The General AI Limit: While LLMs are excellent for scripting and pipeline automation , specialized tasks like predicting TCR-epitope binding require deep niche data and specialized structural AI models.

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