Fixing heart disease is like managing traffic in a city

What exactly is metabolic syndrome?

The most important feature of metabolic syndrome

MetSyn is a critical driver of both COVID deaths and longevity

The need for data

  1. Covering very many biochemical datapoints per person — what is called “multiomics.” You have to see deep details about the person’s DNA, RNA, proteins and metabolites (if you don’t know the relationships between these I highly recommend learning about it).
  2. Phenotypically labeled — you have to know what is going on with the person, i.e. their sickness/health states as recorded by medical professionals in their health records
  3. Longitudinal — many data points per person over time for both multiomics and phenotypes since the condition constantly evolves.

Wait, don’t we already have biomarkers for metabolic syndrome?

High-dimensional biomarkers are key enablers of treatment

  1. Develop treatments much faster by optimizing the high-dimensional biomarker rather than wait for people to not have heart attacks
  2. Identify sub-clusters of people likely to respond to one treatment vs another treatment — what is called personalized medicine

What we are doing at Multiomic

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Ukrainian citizen. Building a data & bio company. 3X founder incl. $1bn+ sales travel co; raised $100m+ from investors including Sequoia, Accel, Founders Fund.

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Serge Faguet

Serge Faguet

Ukrainian citizen. Building a data & bio company. 3X founder incl. $1bn+ sales travel co; raised $100m+ from investors including Sequoia, Accel, Founders Fund.

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