Encoding the molecular fingerprint of biofluids.

To build the data layer for biological AI.

Metabolites, lipids and small molecules leave a unique fingerprint.

What if we could measure this to encode representations of complex biological systems, building a data modality for training the next generation of AI models for biology?

A new data modality

We use nanoscale photonic sensors to collect datasets that are:

HIGHLY DIMENSIONAL - INFORMATION DENSE - CAN BE MEASURED AT SCALE

We use this as a basis for training models for diverse applications.

A chip used for diagnostic testing.

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Dandelion Diagnostics

Ole Maaløes Vej 3

2200 København N

Danmark

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