Biosensors don’t fail because of biology. They fail because we don’t engineer sensing as a system. We’re rebuilding biosensing from first principles.
Rethinking how biosensing systems are designed
Biological sensing is fundamentally a multi-layer problem involving molecular recognition, signal transduction, and computational interpretation.
Most existing approaches treat these layers independently, optimizing biological components, hardware systems, or data models in isolation.
We take a system-first approach, where sensing is engineered as an integrated pipeline from molecular interaction to final output.
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